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diff --git a/main/_modules/torchaudio/models/wavernn.html b/main/_modules/torchaudio/models/wavernn.html index dbbbf5cce6..1c87d365ae 100644 --- a/main/_modules/torchaudio/models/wavernn.html +++ b/main/_modules/torchaudio/models/wavernn.html @@ -9,7 +9,7 @@ - torchaudio.models.wavernn — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.wavernn — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/pipelines/_wav2vec2/impl.html b/main/_modules/torchaudio/pipelines/_wav2vec2/impl.html index 24907cec03..a7349b5d28 100644 --- a/main/_modules/torchaudio/pipelines/_wav2vec2/impl.html +++ b/main/_modules/torchaudio/pipelines/_wav2vec2/impl.html @@ -9,7 +9,7 @@ - torchaudio.pipelines._wav2vec2.impl — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.pipelines._wav2vec2.impl — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/pipelines/rnnt_pipeline.html b/main/_modules/torchaudio/pipelines/rnnt_pipeline.html index f6d5c91bee..5fd9cf1c9d 100644 --- a/main/_modules/torchaudio/pipelines/rnnt_pipeline.html +++ b/main/_modules/torchaudio/pipelines/rnnt_pipeline.html @@ -9,7 +9,7 @@ - torchaudio.pipelines.rnnt_pipeline — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.pipelines.rnnt_pipeline — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/prototype/datasets/musan.html b/main/_modules/torchaudio/prototype/datasets/musan.html index bd51010ad3..bcd9889e94 100644 --- a/main/_modules/torchaudio/prototype/datasets/musan.html +++ b/main/_modules/torchaudio/prototype/datasets/musan.html @@ -9,7 +9,7 @@ - torchaudio.prototype.datasets.musan — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.datasets.musan — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/prototype/functional/_dsp.html b/main/_modules/torchaudio/prototype/functional/_dsp.html index 0dcfb6d9a2..1f8dc14c8b 100644 --- a/main/_modules/torchaudio/prototype/functional/_dsp.html +++ b/main/_modules/torchaudio/prototype/functional/_dsp.html @@ -9,7 +9,7 @@ - torchaudio.prototype.functional._dsp — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.functional._dsp — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/prototype/functional/functional.html b/main/_modules/torchaudio/prototype/functional/functional.html index e3ce584f04..ae24e8a0d6 100644 --- a/main/_modules/torchaudio/prototype/functional/functional.html +++ b/main/_modules/torchaudio/prototype/functional/functional.html @@ -9,7 +9,7 @@ - torchaudio.prototype.functional.functional — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.functional.functional — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/prototype/models/_conformer_wav2vec2.html b/main/_modules/torchaudio/prototype/models/_conformer_wav2vec2.html index 376f7937d2..ce305ec2df 100644 --- a/main/_modules/torchaudio/prototype/models/_conformer_wav2vec2.html +++ b/main/_modules/torchaudio/prototype/models/_conformer_wav2vec2.html @@ -9,7 +9,7 @@ - torchaudio.prototype.models._conformer_wav2vec2 — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.models._conformer_wav2vec2 — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/prototype/models/_emformer_hubert.html b/main/_modules/torchaudio/prototype/models/_emformer_hubert.html index e2bc073006..1f2b8a8866 100644 --- a/main/_modules/torchaudio/prototype/models/_emformer_hubert.html +++ b/main/_modules/torchaudio/prototype/models/_emformer_hubert.html @@ -9,7 +9,7 @@ - torchaudio.prototype.models._emformer_hubert — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.models._emformer_hubert — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/prototype/models/conv_emformer.html b/main/_modules/torchaudio/prototype/models/conv_emformer.html index 72753f1d75..fb43d0b034 100644 --- a/main/_modules/torchaudio/prototype/models/conv_emformer.html +++ b/main/_modules/torchaudio/prototype/models/conv_emformer.html @@ -9,7 +9,7 @@ - torchaudio.prototype.models.conv_emformer — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.models.conv_emformer — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/prototype/models/hifi_gan.html b/main/_modules/torchaudio/prototype/models/hifi_gan.html index 86c174a8e7..44ca58cb3d 100644 --- a/main/_modules/torchaudio/prototype/models/hifi_gan.html +++ b/main/_modules/torchaudio/prototype/models/hifi_gan.html @@ -9,7 +9,7 @@ - torchaudio.prototype.models.hifi_gan — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.models.hifi_gan — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/prototype/models/rnnt.html b/main/_modules/torchaudio/prototype/models/rnnt.html index b136a14cef..d00d231ea3 100644 --- a/main/_modules/torchaudio/prototype/models/rnnt.html +++ b/main/_modules/torchaudio/prototype/models/rnnt.html @@ -9,7 +9,7 @@ - torchaudio.prototype.models.rnnt — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.models.rnnt — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/prototype/pipelines/_vggish/_vggish_pipeline.html b/main/_modules/torchaudio/prototype/pipelines/_vggish/_vggish_pipeline.html index 0509c34407..7e039476c9 100644 --- a/main/_modules/torchaudio/prototype/pipelines/_vggish/_vggish_pipeline.html +++ b/main/_modules/torchaudio/prototype/pipelines/_vggish/_vggish_pipeline.html @@ -9,7 +9,7 @@ - torchaudio.prototype.pipelines._vggish._vggish_pipeline — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.pipelines._vggish._vggish_pipeline — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html b/main/_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html index cc8f87e888..9333599bcc 100644 --- a/main/_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html +++ b/main/_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html @@ -9,7 +9,7 @@ - torchaudio.prototype.pipelines.hifigan_pipeline — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.pipelines.hifigan_pipeline — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/prototype/transforms/_transforms.html b/main/_modules/torchaudio/prototype/transforms/_transforms.html index 3b8718d0bf..8231ae47c4 100644 --- a/main/_modules/torchaudio/prototype/transforms/_transforms.html +++ b/main/_modules/torchaudio/prototype/transforms/_transforms.html @@ -9,7 +9,7 @@ - torchaudio.prototype.transforms._transforms — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.transforms._transforms — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/sox_effects/sox_effects.html b/main/_modules/torchaudio/sox_effects/sox_effects.html index ab6917febb..6c6bcac076 100644 --- a/main/_modules/torchaudio/sox_effects/sox_effects.html +++ b/main/_modules/torchaudio/sox_effects/sox_effects.html @@ -9,7 +9,7 @@ - torchaudio.sox_effects.sox_effects — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.sox_effects.sox_effects — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/transforms/_multi_channel.html b/main/_modules/torchaudio/transforms/_multi_channel.html index 61c7349cd0..7dcfff17dd 100644 --- a/main/_modules/torchaudio/transforms/_multi_channel.html +++ b/main/_modules/torchaudio/transforms/_multi_channel.html @@ -9,7 +9,7 @@ - torchaudio.transforms._multi_channel — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.transforms._multi_channel — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torchaudio/transforms/_transforms.html b/main/_modules/torchaudio/transforms/_transforms.html index cb86b49b17..3750ce64b3 100644 --- a/main/_modules/torchaudio/transforms/_transforms.html +++ b/main/_modules/torchaudio/transforms/_transforms.html @@ -9,7 +9,7 @@ - torchaudio.transforms._transforms — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.transforms._transforms — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/utils/sox_utils.html b/main/_modules/torchaudio/utils/sox_utils.html index f56c7a6ff7..dd645faa83 100644 --- a/main/_modules/torchaudio/utils/sox_utils.html +++ b/main/_modules/torchaudio/utils/sox_utils.html @@ -9,7 +9,7 @@ - torchaudio.utils.sox_utils — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.utils.sox_utils — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torio/io/_streaming_media_decoder.html b/main/_modules/torio/io/_streaming_media_decoder.html index 262fc2f4d3..a742968e5d 100644 --- a/main/_modules/torio/io/_streaming_media_decoder.html +++ b/main/_modules/torio/io/_streaming_media_decoder.html @@ -9,7 +9,7 @@ - torio.io._streaming_media_decoder — Torchaudio 2.2.0.dev20240424 documentation + torio.io._streaming_media_decoder — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torio/io/_streaming_media_encoder.html b/main/_modules/torio/io/_streaming_media_encoder.html index 6faa874f9c..0aae0b154b 100644 --- a/main/_modules/torio/io/_streaming_media_encoder.html +++ b/main/_modules/torio/io/_streaming_media_encoder.html @@ -9,7 +9,7 @@ - torio.io._streaming_media_encoder — Torchaudio 2.2.0.dev20240424 documentation + torio.io._streaming_media_encoder — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_modules/torio/utils/ffmpeg_utils.html b/main/_modules/torio/utils/ffmpeg_utils.html index 32177980b9..2095b4a3fe 100644 --- a/main/_modules/torio/utils/ffmpeg_utils.html +++ b/main/_modules/torio/utils/ffmpeg_utils.html @@ -9,7 +9,7 @@ - torio.utils.ffmpeg_utils — Torchaudio 2.2.0.dev20240424 documentation + torio.utils.ffmpeg_utils — Torchaudio 2.2.0.dev20240509 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt b/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt index 48d96fdd76..9732de50a2 100644 --- a/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt +++ b/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt @@ -58,8 +58,8 @@ Subtractive synthesis creates timbre by applying filters. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240508 + 2.2.0.dev20240509 @@ -626,7 +626,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.864 seconds) + **Total running time of the script:** ( 0 minutes 4.787 seconds) .. _sphx_glr_download_tutorials_additive_synthesis_tutorial.py: diff --git a/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt b/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt index bd21517ea4..9526981108 100644 --- a/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt +++ b/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt @@ -86,8 +86,8 @@ working with .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240508 + 2.2.0.dev20240509 @@ -141,7 +141,7 @@ tutorial <./speech_recognition_pipeline_tutorial.html>`__. .. code-block:: none Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth - 0%| | 0.00/360M [00:00', '', '', 'S', 'ā–THE', 'ā–A', 'T', 'ā–AND', 'ED', 'ā–OF', 'ā–TO', 'E', 'D', 'N', 'ING', 'ā–IN', 'Y', 'M', 'C', 'ā–I', 'A', 'P', 'ā–HE', 'R', 'O', 'L', 'RE', 'I', 'U', 'ER', 'ā–IT', 'LY', 'ā–THAT', 'ā–WAS', 'ā–', 'ā–S', 'AR', 'ā–BE', 'F', 'ā–C', 'IN', 'B', 'ā–FOR', 'OR', 'LE', "'", 'ā–HIS', 'ā–YOU', 'AL', 'ā–RE', 'V', 'ā–B', 'G', 'RI', 'ā–E', 'ā–WITH', 'ā–T', 'ā–AS', 'LL', 'ā–P', 'ā–HER', 'ST', 'ā–HAD', 'ā–SO', 'ā–F', 'W', 'CE', 'ā–IS', 'ND', 'ā–NOT', 'TH', 'ā–BUT', 'EN', 'ā–SHE', 'ā–ON', 'VE', 'ON', 'SE', 'ā–DE', 'UR', 'ā–G', 'CH', 'K', 'TER', 'ā–AT', 'IT', 'ā–ME', 'RO', 'NE', 'RA', 'ES', 'IL', 'NG', 'IC', 'ā–NO', 'ā–HIM', 'ENT', 'IR', 'ā–WE', 'H', 'ā–DO', 'ā–ALL', 'ā–HAVE', 'LO', 'ā–BY', 'ā–MY', 'ā–MO', 'ā–THIS', 'LA', 'ā–ST', 'ā–WHICH', 'ā–CON', 'ā–THEY', 'CK', 'TE', 'ā–SAID', 'ā–FROM', 'ā–GO', 'ā–WHO', 'ā–TH', 'ā–OR', 'ā–D', 'ā–W', 'VER', 'LI', 'ā–SE', 'ā–ONE', 'ā–CA', 'ā–AN', 'ā–LA', 'ā–WERE', 'EL', 'ā–HA', 'ā–MAN', 'ā–FA', 'ā–EX', 'AD', 'ā–SU', 'RY', 'ā–MI', 'AT', 'ā–BO', 'ā–WHEN', 'AN', 'THER', 'PP', 'ATION', 'ā–FI', 'ā–WOULD', 'ā–PRO', 'OW', 'ET', 'ā–O', 'ā–THERE', 'ā–HO', 'ION', 'ā–WHAT', 'ā–FE', 'ā–PA', 'US', 'MENT', 'ā–MA', 'UT', 'ā–OUT', 'ā–THEIR', 'ā–IF', 'ā–LI', 'ā–K', 'ā–WILL', 'ā–ARE', 'ID', 'ā–RO', 'DE', 'TION', 'ā–WA', 'PE', 'ā–UP', 'ā–SP', 'ā–PO', 'IGHT', 'ā–UN', 'RU', 'ā–LO', 'AS', 'OL', 'ā–LE', 'ā–BEEN', 'ā–SH', 'ā–RA', 'ā–SEE', 'KE', 'UL', 'TED', 'ā–SA', 'UN', 'UND', 'ANT', 'ā–NE', 'IS', 'ā–THEM', 'CI', 'GE', 'ā–COULD', 'ā–DIS', 'OM', 'ISH', 'HE', 'EST', 'ā–SOME', 'ENCE', 'ITY', 'IVE', 'ā–US', 'ā–MORE', 'ā–EN', 'ARD', 'ATE', 'ā–YOUR', 'ā–INTO', 'ā–KNOW', 'ā–CO', 'ANCE', 'ā–TIME', 'ā–WI', 'ā–YE', 'AGE', 'ā–NOW', 'TI', 'FF', 'ABLE', 'ā–VERY', 'ā–LIKE', 'AM', 'HI', 'Z', 'ā–OTHER', 'ā–THAN', 'ā–LITTLE', 'ā–DID', 'ā–LOOK', 'TY', 'ERS', 'ā–CAN', 'ā–CHA', 'ā–AR', 'X', 'FUL', 'UGH', 'ā–BA', 'ā–DAY', 'ā–ABOUT', 'TEN', 'IM', 'ā–ANY', 'ā–PRE', 'ā–OVER', 'IES', 'NESS', 'ME', 'BLE', 'ā–M', 'ROW', 'ā–HAS', 'ā–GREAT', 'ā–VI', 'TA', 'ā–AFTER', 'PER', 'ā–AGAIN', 'HO', 'SH', 'ā–UPON', 'ā–DI', 'ā–HAND', 'ā–COM', 'IST', 'TURE', 'ā–STA', 'ā–THEN', 'ā–SHOULD', 'ā–GA', 'OUS', 'OUR', 'ā–WELL', 'ā–ONLY', 'MAN', 'ā–GOOD', 'ā–TWO', 'ā–MAR', 'ā–SAY', 'ā–HU', 'TING', 'ā–OUR', 'RESS', 'ā–DOWN', 'IOUS', 'ā–BEFORE', 'ā–DA', 'ā–NA', 'QUI', 'ā–MADE', 'ā–EVERY', 'ā–OLD', 'ā–EVEN', 'IG', 'ā–COME', 'ā–GRA', 'ā–RI', 'ā–LONG', 'OT', 'SIDE', 'WARD', 'ā–FO', 'ā–WHERE', 'MO', 'LESS', 'ā–SC', 'ā–MUST', 'ā–NEVER', 'ā–HOW', 'ā–CAME', 'ā–SUCH', 'ā–RU', 'ā–TAKE', 'ā–WO', 'ā–CAR', 'UM', 'AK', 'ā–THINK', 'ā–MUCH', 'ā–MISTER', 'ā–MAY', 'ā–JO', 'ā–WAY', 'ā–COMP', 'ā–THOUGHT', 'ā–STO', 'ā–MEN', 'ā–BACK', 'ā–DON', 'J', 'ā–LET', 'ā–TRA', 'ā–FIRST', 'ā–JUST', 'ā–VA', 'ā–OWN', 'ā–PLA', 'ā–MAKE', 'ATED', 'ā–HIMSELF', 'ā–WENT', 'ā–PI', 'GG', 'RING', 'ā–DU', 'ā–MIGHT', 'ā–PART', 'ā–GIVE', 'ā–IMP', 'ā–BU', 'ā–PER', 'ā–PLACE', 'ā–HOUSE', 'ā–THROUGH', 'IAN', 'ā–SW', 'ā–UNDER', 'QUE', 'ā–AWAY', 'ā–LOVE', 'QUA', 'ā–LIFE', 'ā–GET', 'ā–WITHOUT', 'ā–PASS', 'ā–TURN', 'IGN', 'ā–HEAD', 'ā–MOST', 'ā–THOSE', 'ā–SHALL', 'ā–EYES', 'ā–COL', 'ā–STILL', 'ā–NIGHT', 'ā–NOTHING', 'ITION', 'HA', 'ā–TELL', 'ā–WORK', 'ā–LAST', 'ā–NEW', 'ā–FACE', 'ā–HI', 'ā–WORD', 'ā–FOUND', 'ā–COUNT', 'ā–OB', 'ā–WHILE', 'ā–SHA', 'ā–MEAN', 'ā–SAW', 'ā–PEOPLE', 'ā–FRIEND', 'ā–THREE', 'ā–ROOM', 'ā–SAME', 'ā–THOUGH', 'ā–RIGHT', 'ā–CHILD', 'ā–FATHER', 'ā–ANOTHER', 'ā–HEART', 'ā–WANT', 'ā–TOOK', 'OOK', 'ā–LIGHT', 'ā–MISSUS', 'ā–OPEN', 'ā–JU', 'ā–ASKED', 'PORT', 'ā–LEFT', 'ā–JA', 'ā–WORLD', 'ā–HOME', 'ā–WHY', 'ā–ALWAYS', 'ā–ANSWER', 'ā–SEEMED', 'ā–SOMETHING', 'ā–GIRL', 'ā–BECAUSE', 'ā–NAME', 'ā–TOLD', 'ā–NI', 'ā–HIGH', 'IZE', 'ā–WOMAN', 'ā–FOLLOW', 'ā–RETURN', 'ā–KNEW', 'ā–EACH', 'ā–KIND', 'ā–JE', 'ā–ACT', 'ā–LU', 'ā–CERTAIN', 'ā–YEARS', 'ā–QUITE', 'ā–APPEAR', 'ā–BETTER', 'ā–HALF', 'ā–PRESENT', 'ā–PRINCE', 'SHIP', 'ā–ALSO', 'ā–BEGAN', 'ā–HAVING', 'ā–ENOUGH', 'ā–PERSON', 'ā–LADY', 'ā–WHITE', 'ā–COURSE', 'ā–VOICE', 'ā–SPEAK', 'ā–POWER', 'ā–MORNING', 'ā–BETWEEN', 'ā–AMONG', 'ā–KEEP', 'ā–WALK', 'ā–MATTER', 'ā–TEA', 'ā–BELIEVE', 'ā–SMALL', 'ā–TALK', 'ā–FELT', 'ā–HORSE', 'ā–MYSELF', 'ā–SIX', 'ā–HOWEVER', 'ā–FULL', 'ā–HERSELF', 'ā–POINT', 'ā–STOOD', 'ā–HUNDRED', 'ā–ALMOST', 'ā–SINCE', 'ā–LARGE', 'ā–LEAVE', 'ā–PERHAPS', 'ā–DARK', 'ā–SUDDEN', 'ā–REPLIED', 'ā–ANYTHING', 'ā–WONDER', 'ā–UNTIL', 'Q'] @@ -486,7 +486,7 @@ of 3 provides the same output as beam size 10. .. code-block:: none - beam size 1 : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -1.35; 0.0009 secs) + beam size 1 : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -1.35; 0.0010 secs) beam size 2 : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.21; 0.0009 secs) beam size 3 : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0009 secs) beam size 10 : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0010 secs) @@ -533,7 +533,7 @@ We recommend to set blank_skip_threshold=0.95 for cuda beam search decoder. .. code-block:: none - blank_skip_threshold 0.25: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: -0.01; 0.0009 secs) + blank_skip_threshold 0.25: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: -0.01; 0.0010 secs) blank_skip_threshold 0.95: i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0010 secs) blank_skip_threshold 1.0: i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.21; 0.0043 secs) @@ -564,7 +564,7 @@ From the above table, CUDA decoder could give a slight improvement in WER and a .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.491 seconds) + **Total running time of the script:** ( 0 minutes 9.191 seconds) .. _sphx_glr_download_tutorials_asr_inference_with_cuda_ctc_decoder_tutorial.py: diff --git a/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt b/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt index 8fcf8caa5a..3caded8278 100644 --- a/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt +++ b/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt @@ -52,8 +52,8 @@ At the end, we synthesize noisy speech over phone from clean speech. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240508 + 2.2.0.dev20240509 @@ -89,9 +89,9 @@ First, we import the modules and download the audio assets we use in this tutori .. code-block:: none - 0%| | 0.00/427k [00:00 44.1 kHz) .. code-block:: none librosa functional transforms - sinc (width 64) NaN 0.87 0.39 - sinc (width 16) NaN 0.70 0.36 - kaiser_best 84.25 1.22 0.39 - kaiser_fast 7.90 0.96 0.36 + sinc (width 64) NaN 0.92 0.41 + sinc (width 16) NaN 0.79 0.37 + kaiser_best 83.49 1.26 0.37 + kaiser_fast 7.89 1.00 0.37 @@ -941,10 +941,10 @@ Downsample (16 -> 8 kHz) .. code-block:: none librosa functional transforms - sinc (width 64) NaN 1.37 1.20 - sinc (width 16) NaN 0.54 0.39 - kaiser_best 11.31 1.40 1.22 - kaiser_fast 3.14 0.61 0.43 + sinc (width 64) NaN 1.31 1.12 + sinc (width 16) NaN 0.54 0.37 + kaiser_best 11.26 1.37 1.16 + kaiser_fast 3.12 0.61 0.40 @@ -976,10 +976,10 @@ Upsample (44.1 -> 48 kHz) .. code-block:: none librosa functional transforms - sinc (width 64) NaN 0.86 0.40 - sinc (width 16) NaN 0.71 0.35 - kaiser_best 32.72 1.09 0.37 - kaiser_fast 7.86 0.95 0.36 + sinc (width 64) NaN 0.90 0.41 + sinc (width 16) NaN 0.73 0.36 + kaiser_best 32.52 1.13 0.41 + kaiser_fast 7.85 0.98 0.36 @@ -1011,10 +1011,10 @@ Upsample (8 -> 16 kHz) .. code-block:: none librosa functional transforms - sinc (width 64) NaN 0.75 0.55 - sinc (width 16) NaN 0.38 0.22 - kaiser_best 11.23 0.79 0.56 - kaiser_fast 2.98 0.42 0.25 + sinc (width 64) NaN 0.77 0.56 + sinc (width 16) NaN 0.37 0.22 + kaiser_best 11.19 0.79 0.56 + kaiser_fast 2.98 0.43 0.24 @@ -1039,7 +1039,7 @@ To elaborate on the results: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.372 seconds) + **Total running time of the script:** ( 0 minutes 3.325 seconds) .. _sphx_glr_download_tutorials_audio_resampling_tutorial.py: diff --git a/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt b/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt index f5a4b3faa8..3f889806a2 100644 --- a/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt +++ b/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt @@ -65,8 +65,8 @@ Preparation .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240508 + 2.2.0.dev20240509 @@ -175,7 +175,7 @@ the transcript. .. code-block:: none Downloading: "https://dl.fbaipublicfiles.com/mms/torchaudio/ctc_alignment_mling_uroman/model.pt" to /root/.cache/torch/hub/checkpoints/model.pt - 0%| | 0.00/1.18G [00:00 @@ -1368,7 +1375,7 @@ Tag: :obj:`torchaudio.io` .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.084 seconds) + **Total running time of the script:** ( 0 minutes 3.033 seconds) .. _sphx_glr_download_tutorials_effector_tutorial.py: diff --git a/main/_sources/tutorials/filter_design_tutorial.rst.txt b/main/_sources/tutorials/filter_design_tutorial.rst.txt index 5f5b76adca..cf8945d06e 100644 --- a/main/_sources/tutorials/filter_design_tutorial.rst.txt +++ b/main/_sources/tutorials/filter_design_tutorial.rst.txt @@ -56,8 +56,8 @@ windowed-sinc kernels, and frequency sampling method. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240508 + 2.2.0.dev20240509 @@ -674,7 +674,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.307 seconds) + **Total running time of the script:** ( 0 minutes 5.158 seconds) .. _sphx_glr_download_tutorials_filter_design_tutorial.py: diff --git a/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt b/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt index e75a547c2d..f4ac0fa23b 100644 --- a/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt +++ b/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt @@ -55,8 +55,8 @@ model, tokenizer and aligner, to perform the forced alignment with less code. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240508 + 2.2.0.dev20240509 cuda @@ -2039,7 +2039,7 @@ forced aligner API. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.117 seconds) + **Total running time of the script:** ( 0 minutes 4.178 seconds) .. _sphx_glr_download_tutorials_forced_alignment_for_multilingual_data_tutorial.py: diff --git a/main/_sources/tutorials/forced_alignment_tutorial.rst.txt b/main/_sources/tutorials/forced_alignment_tutorial.rst.txt index 50976f5c3e..02ae409881 100644 --- a/main/_sources/tutorials/forced_alignment_tutorial.rst.txt +++ b/main/_sources/tutorials/forced_alignment_tutorial.rst.txt @@ -72,8 +72,8 @@ Recognition `__. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240508 + 2.2.0.dev20240509 cuda @@ -1300,7 +1300,7 @@ perform CTC segmentation for forced alignment. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.751 seconds) + **Total running time of the script:** ( 0 minutes 1.699 seconds) .. _sphx_glr_download_tutorials_forced_alignment_tutorial.py: diff --git a/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt b/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt index 4d3bd136de..ebf8e37a23 100644 --- a/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt +++ b/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt @@ -78,8 +78,8 @@ First, we install the necessary dependencies. The first requirement is .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240508 + 2.2.0.dev20240509 @@ -146,7 +146,7 @@ and has a nfft value of 4096 with a depth of 6 in the model implementation. .. code-block:: none - 0%| | 0.00/319M [00:00 @@ -547,7 +547,7 @@ a model and getting the emission is as short as two lines. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.583 seconds) + **Total running time of the script:** ( 0 minutes 6.270 seconds) .. _sphx_glr_download_tutorials_speech_recognition_pipeline_tutorial.py: diff --git a/main/_sources/tutorials/squim_tutorial.rst.txt b/main/_sources/tutorials/squim_tutorial.rst.txt index 5280e4bd98..5d10d34482 100644 --- a/main/_sources/tutorials/squim_tutorial.rst.txt +++ b/main/_sources/tutorials/squim_tutorial.rst.txt @@ -97,8 +97,8 @@ through MOS using non-matching references.ā€ Interspeech, 2022. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240508 + 2.2.0.dev20240509 @@ -225,7 +225,7 @@ plot data, pystoi, pesq for computing reference metrics. .. code-block:: none - 0%| | 0.00/156k [00:00
@@ -911,7 +911,7 @@ Tag: :obj:`torchaudio.io` .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.246 seconds) + **Total running time of the script:** ( 0 minutes 7.292 seconds) .. _sphx_glr_download_tutorials_streamwriter_basic_tutorial.py: diff --git a/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt b/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt index 8686ebd130..5d57fb9c0a 100644 --- a/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt +++ b/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt @@ -56,8 +56,8 @@ Subtractive synthesis creates timbre by applying filters to source waveform. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240508 + 2.2.0.dev20240509 @@ -648,7 +648,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 8.130 seconds) + **Total running time of the script:** ( 0 minutes 7.865 seconds) .. _sphx_glr_download_tutorials_subtractive_synthesis_tutorial.py: diff --git a/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt b/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt index 62028f399f..fba956689c 100644 --- a/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt +++ b/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt @@ -102,8 +102,8 @@ encoding. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240508 + 2.2.0.dev20240509 cuda @@ -295,7 +295,7 @@ fetched. .. code-block:: none - 0%| | 0.00/63.6M [00:00 - Enabling GPU video decoder/encoder — Torchaudio 2.2.0.dev20240424 documentation + Enabling GPU video decoder/encoder — Torchaudio 2.2.0.dev20240509 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/build.html b/main/build.html index 997605a365..ca25ddfcd1 100644 --- a/main/build.html +++ b/main/build.html @@ -10,7 +10,7 @@ - Building from source — Torchaudio 2.2.0.dev20240424 documentation + Building from source — Torchaudio 2.2.0.dev20240509 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/build.jetson.html b/main/build.jetson.html index 4c96ad721c..176f7620ce 100644 --- a/main/build.jetson.html +++ b/main/build.jetson.html @@ -10,7 +10,7 @@ - Building on Jetson — Torchaudio 2.2.0.dev20240424 documentation + Building on Jetson — Torchaudio 2.2.0.dev20240509 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/build.linux.html b/main/build.linux.html index 727a63b688..95c8ae3054 100644 --- a/main/build.linux.html +++ b/main/build.linux.html @@ -10,7 +10,7 @@ - Building on Linux and macOS — Torchaudio 2.2.0.dev20240424 documentation + Building on Linux and macOS — Torchaudio 2.2.0.dev20240509 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/build.windows.html b/main/build.windows.html index b8100a1f6e..0eec4c4c10 100644 --- a/main/build.windows.html +++ b/main/build.windows.html @@ -10,7 +10,7 @@ - Building on Windows — Torchaudio 2.2.0.dev20240424 documentation + Building on Windows — Torchaudio 2.2.0.dev20240509 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/compliance.kaldi.html b/main/compliance.kaldi.html index 37f85426b0..d8981834e4 100644 --- a/main/compliance.kaldi.html +++ b/main/compliance.kaldi.html @@ -10,7 +10,7 @@ - torchaudio.compliance.kaldi — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.compliance.kaldi — Torchaudio 2.2.0.dev20240509 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
diff --git a/main/datasets.html b/main/datasets.html index ca3b903e4c..ee33f9f9ca 100644 --- a/main/datasets.html +++ b/main/datasets.html @@ -10,7 +10,7 @@ - torchaudio.datasets — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.datasets — Torchaudio 2.2.0.dev20240509 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240509 ▼
@@ -436,10 +436,10 @@

torchaudio.datasetsĀ¶

-

All datasets are subclasses of torch.utils.data.Dataset +

All datasets are subclasses of torch.utils.data.Dataset and have __getitem__ and __len__ methods implemented.

-

Hence, they can all be passed to a torch.utils.data.DataLoader -which can load multiple samples parallelly using torch.multiprocessing workers. +

Hence, they can all be passed to a torch.utils.data.DataLoader +which can load multiple samples parallelly using torch.multiprocessing workers. For example:

yesno_data = torchaudio.datasets.YESNO('.', download=True)
 data_loader = torch.utils.data.DataLoader(
diff --git a/main/feature_classifications.html b/main/feature_classifications.html
index c88bf5205b..24d750f800 100644
--- a/main/feature_classifications.html
+++ b/main/feature_classifications.html
@@ -10,7 +10,7 @@
 
   
   
-  Feature Classifications — Torchaudio 2.2.0.dev20240424 documentation
+  Feature Classifications — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
diff --git a/main/functional.html b/main/functional.html
index 7daca6597f..df77fc1922 100644
--- a/main/functional.html
+++ b/main/functional.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
diff --git a/main/generated/torchaudio.compliance.kaldi.fbank.html b/main/generated/torchaudio.compliance.kaldi.fbank.html
index e856e83034..d1a734909b 100644
--- a/main/generated/torchaudio.compliance.kaldi.fbank.html
+++ b/main/generated/torchaudio.compliance.kaldi.fbank.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.compliance.kaldi.fbank — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.compliance.kaldi.fbank — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.compliance.kaldi.fbankĀ¶

 

 

-torchaudio.compliance.kaldi.fbank(waveform: Tensor, blackman_coeff: float = 0.42, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, high_freq: float = 0.0, htk_compat: bool = False, low_freq: float = 20.0, min_duration: float = 0.0, num_mel_bins: int = 23, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, use_energy: bool = False, use_log_fbank: bool = True, use_power: bool = True, vtln_high: float = -500.0, vtln_low: float = 100.0, vtln_warp: float = 1.0, window_type: str = 'povey') → Tensor[source]Ā¶

+torchaudio.compliance.kaldi.fbank(waveform: Tensor, blackman_coeff: float = 0.42, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, high_freq: float = 0.0, htk_compat: bool = False, low_freq: float = 20.0, min_duration: float = 0.0, num_mel_bins: int = 23, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, use_energy: bool = False, use_log_fbank: bool = True, use_power: bool = True, vtln_high: float = -500.0, vtln_low: float = 100.0, vtln_warp: float = 1.0, window_type: str = 'povey') → Tensor[source]Ā¶
 
Create a fbank from a raw audio signal. This matches the input/output of Kaldiā€™s
 compute-fbank-feats.

 

diff --git a/main/generated/torchaudio.compliance.kaldi.mfcc.html b/main/generated/torchaudio.compliance.kaldi.mfcc.html
index c0a838b820..462b4bd0fd 100644
--- a/main/generated/torchaudio.compliance.kaldi.mfcc.html
+++ b/main/generated/torchaudio.compliance.kaldi.mfcc.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.compliance.kaldi.mfcc — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.compliance.kaldi.mfcc — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.compliance.kaldi.mfccĀ¶

 

 

-torchaudio.compliance.kaldi.mfcc(waveform: Tensor, blackman_coeff: float = 0.42, cepstral_lifter: float = 22.0, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, high_freq: float = 0.0, htk_compat: bool = False, low_freq: float = 20.0, num_ceps: int = 13, min_duration: float = 0.0, num_mel_bins: int = 23, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, use_energy: bool = False, vtln_high: float = -500.0, vtln_low: float = 100.0, vtln_warp: float = 1.0, window_type: str = 'povey') → Tensor[source]Ā¶

+torchaudio.compliance.kaldi.mfcc(waveform: Tensor, blackman_coeff: float = 0.42, cepstral_lifter: float = 22.0, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, high_freq: float = 0.0, htk_compat: bool = False, low_freq: float = 20.0, num_ceps: int = 13, min_duration: float = 0.0, num_mel_bins: int = 23, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, use_energy: bool = False, vtln_high: float = -500.0, vtln_low: float = 100.0, vtln_warp: float = 1.0, window_type: str = 'povey') → Tensor[source]Ā¶
 
Create a mfcc from a raw audio signal. This matches the input/output of Kaldiā€™s
 compute-mfcc-feats.

 

diff --git a/main/generated/torchaudio.compliance.kaldi.spectrogram.html b/main/generated/torchaudio.compliance.kaldi.spectrogram.html
index 23a0f80302..71c28e162c 100644
--- a/main/generated/torchaudio.compliance.kaldi.spectrogram.html
+++ b/main/generated/torchaudio.compliance.kaldi.spectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.compliance.kaldi.spectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.compliance.kaldi.spectrogram — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.compliance.kaldi.spectrogramĀ¶

 

 

-torchaudio.compliance.kaldi.spectrogram(waveform: Tensor, blackman_coeff: float = 0.42, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, min_duration: float = 0.0, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, window_type: str = 'povey') → Tensor[source]Ā¶

+torchaudio.compliance.kaldi.spectrogram(waveform: Tensor, blackman_coeff: float = 0.42, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, min_duration: float = 0.0, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, window_type: str = 'povey') → Tensor[source]Ā¶
 
Create a spectrogram from a raw audio signal. This matches the input/output of Kaldiā€™s
 compute-spectrogram-feats.

 

diff --git a/main/generated/torchaudio.datasets.CMUARCTIC.html b/main/generated/torchaudio.datasets.CMUARCTIC.html
index 7e034e7820..3b521bca81 100644
--- a/main/generated/torchaudio.datasets.CMUARCTIC.html
+++ b/main/generated/torchaudio.datasets.CMUARCTIC.html
@@ -10,7 +10,7 @@
 
   
   
-  CMUARCTIC — Torchaudio 2.2.0.dev20240424 documentation
+  CMUARCTIC — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -463,7 +463,7 @@ 
__getitem__
 

 

-CMUARCTIC.__getitem__(n: int) → Tuple[Tensor, int, str, str][source]Ā¶

+CMUARCTIC.__getitem__(n: int) → Tuple[Tensor, int, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.CMUDict.html b/main/generated/torchaudio.datasets.CMUDict.html
index 620895e23c..c098f9c362 100644
--- a/main/generated/torchaudio.datasets.CMUDict.html
+++ b/main/generated/torchaudio.datasets.CMUDict.html
@@ -10,7 +10,7 @@
 
   
   
-  CMUDict — Torchaudio 2.2.0.dev20240424 documentation
+  CMUDict — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
diff --git a/main/generated/torchaudio.datasets.COMMONVOICE.html b/main/generated/torchaudio.datasets.COMMONVOICE.html
index 5d80cbddd7..da14fa5ec8 100644
--- a/main/generated/torchaudio.datasets.COMMONVOICE.html
+++ b/main/generated/torchaudio.datasets.COMMONVOICE.html
@@ -10,7 +10,7 @@
 
   
   
-  COMMONVOICE — Torchaudio 2.2.0.dev20240424 documentation
+  COMMONVOICE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -460,7 +460,7 @@ 
__getitem__
 

 

-COMMONVOICE.__getitem__(n: int) → Tuple[Tensor, int, Dict[str, str]][source]Ā¶

+COMMONVOICE.__getitem__(n: int) → Tuple[Tensor, int, Dict[str, str]][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.DR_VCTK.html b/main/generated/torchaudio.datasets.DR_VCTK.html
index d5c894f003..2d5c6fa74e 100644
--- a/main/generated/torchaudio.datasets.DR_VCTK.html
+++ b/main/generated/torchaudio.datasets.DR_VCTK.html
@@ -10,7 +10,7 @@
 
   
   
-  DR_VCTK — Torchaudio 2.2.0.dev20240424 documentation
+  DR_VCTK — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -460,7 +460,7 @@ 
__getitem__
 

 

-DR_VCTK.__getitem__(n: int) → Tuple[Tensor, int, Tensor, int, str, str, str, int][source]Ā¶

+DR_VCTK.__getitem__(n: int) → Tuple[Tensor, int, Tensor, int, str, str, str, int][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.FluentSpeechCommands.html b/main/generated/torchaudio.datasets.FluentSpeechCommands.html
index e93cd1ac6f..d2ee90d3d5 100644
--- a/main/generated/torchaudio.datasets.FluentSpeechCommands.html
+++ b/main/generated/torchaudio.datasets.FluentSpeechCommands.html
@@ -10,7 +10,7 @@
 
   
   
-  FluentSpeechCommands — Torchaudio 2.2.0.dev20240424 documentation
+  FluentSpeechCommands — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -459,7 +459,7 @@ 
__getitem__
 

 

-FluentSpeechCommands.__getitem__(n: int) → Tuple[Tensor, int, str, int, str, str, str, str][source]Ā¶

+FluentSpeechCommands.__getitem__(n: int) → Tuple[Tensor, int, str, int, str, str, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.GTZAN.html b/main/generated/torchaudio.datasets.GTZAN.html
index 9946469d08..f8bd62f478 100644
--- a/main/generated/torchaudio.datasets.GTZAN.html
+++ b/main/generated/torchaudio.datasets.GTZAN.html
@@ -10,7 +10,7 @@
 
   
   
-  GTZAN — Torchaudio 2.2.0.dev20240424 documentation
+  GTZAN — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -473,7 +473,7 @@ 
__getitem__
 

 

-GTZAN.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶

+GTZAN.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.IEMOCAP.html b/main/generated/torchaudio.datasets.IEMOCAP.html
index e82d45581d..011a6ed034 100644
--- a/main/generated/torchaudio.datasets.IEMOCAP.html
+++ b/main/generated/torchaudio.datasets.IEMOCAP.html
@@ -10,7 +10,7 @@
 
   
   
-  IEMOCAP — Torchaudio 2.2.0.dev20240424 documentation
+  IEMOCAP — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -460,7 +460,7 @@ 
__getitem__
 

 

-IEMOCAP.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶

+IEMOCAP.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.LIBRISPEECH.html b/main/generated/torchaudio.datasets.LIBRISPEECH.html
index f985e83f2e..1ff1a22c98 100644
--- a/main/generated/torchaudio.datasets.LIBRISPEECH.html
+++ b/main/generated/torchaudio.datasets.LIBRISPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  LIBRISPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  LIBRISPEECH — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -463,7 +463,7 @@ 
__getitem__
 

 

-LIBRISPEECH.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶

+LIBRISPEECH.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.LIBRITTS.html b/main/generated/torchaudio.datasets.LIBRITTS.html
index b3d00ecc20..775782404e 100644
--- a/main/generated/torchaudio.datasets.LIBRITTS.html
+++ b/main/generated/torchaudio.datasets.LIBRITTS.html
@@ -10,7 +10,7 @@
 
   
   
-  LIBRITTS — Torchaudio 2.2.0.dev20240424 documentation
+  LIBRITTS — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -463,7 +463,7 @@ 
__getitem__
 

 

-LIBRITTS.__getitem__(n: int) → Tuple[Tensor, int, str, str, int, int, str][source]Ā¶

+LIBRITTS.__getitem__(n: int) → Tuple[Tensor, int, str, str, int, int, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.LJSPEECH.html b/main/generated/torchaudio.datasets.LJSPEECH.html
index ef2f07cb83..a3860fddc1 100644
--- a/main/generated/torchaudio.datasets.LJSPEECH.html
+++ b/main/generated/torchaudio.datasets.LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  LJSPEECH — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -460,7 +460,7 @@ 
__getitem__
 

 

-LJSPEECH.__getitem__(n: int) → Tuple[Tensor, int, str, str][source]Ā¶

+LJSPEECH.__getitem__(n: int) → Tuple[Tensor, int, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.LibriLightLimited.html b/main/generated/torchaudio.datasets.LibriLightLimited.html
index 4ccdcfb492..b4022cd50a 100644
--- a/main/generated/torchaudio.datasets.LibriLightLimited.html
+++ b/main/generated/torchaudio.datasets.LibriLightLimited.html
@@ -10,7 +10,7 @@
 
   
   
-  LibriLightLimited — Torchaudio 2.2.0.dev20240424 documentation
+  LibriLightLimited — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -460,7 +460,7 @@ 
__getitem__
 

 

-LibriLightLimited.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶

+LibriLightLimited.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.LibriMix.html b/main/generated/torchaudio.datasets.LibriMix.html
index 20b9083837..e76641f6d0 100644
--- a/main/generated/torchaudio.datasets.LibriMix.html
+++ b/main/generated/torchaudio.datasets.LibriMix.html
@@ -10,7 +10,7 @@
 
   
   
-  LibriMix — Torchaudio 2.2.0.dev20240424 documentation
+  LibriMix — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -477,7 +477,7 @@ 
__getitem__
 

 

-LibriMix.__getitem__(key: int) → Tuple[int, Tensor, List[Tensor]][source]Ā¶

+LibriMix.__getitem__(key: int) → Tuple[int, Tensor, List[Tensor]][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.MUSDB_HQ.html b/main/generated/torchaudio.datasets.MUSDB_HQ.html
index 6403af6e1b..3086f69b51 100644
--- a/main/generated/torchaudio.datasets.MUSDB_HQ.html
+++ b/main/generated/torchaudio.datasets.MUSDB_HQ.html
@@ -10,7 +10,7 @@
 
   
   
-  MUSDB_HQ — Torchaudio 2.2.0.dev20240424 documentation
+  MUSDB_HQ — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -466,7 +466,7 @@ 
__getitem__
 

 

-MUSDB_HQ.__getitem__(n: int) → Tuple[Tensor, int, int, str][source]Ā¶

+MUSDB_HQ.__getitem__(n: int) → Tuple[Tensor, int, int, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.QUESST14.html b/main/generated/torchaudio.datasets.QUESST14.html
index fa76d14210..1f6f412679 100644
--- a/main/generated/torchaudio.datasets.QUESST14.html
+++ b/main/generated/torchaudio.datasets.QUESST14.html
@@ -10,7 +10,7 @@
 
   
   
-  QUESST14 — Torchaudio 2.2.0.dev20240424 documentation
+  QUESST14 — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -462,7 +462,7 @@ 
__getitem__
 

 

-QUESST14.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶

+QUESST14.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html b/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
index db6dc3cf0f..60e78187de 100644
--- a/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
+++ b/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
@@ -10,7 +10,7 @@
 
   
   
-  SPEECHCOMMANDS — Torchaudio 2.2.0.dev20240424 documentation
+  SPEECHCOMMANDS — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -468,7 +468,7 @@ 
__getitem__
 

 

-SPEECHCOMMANDS.__getitem__(n: int) → Tuple[Tensor, int, str, str, int][source]Ā¶

+SPEECHCOMMANDS.__getitem__(n: int) → Tuple[Tensor, int, str, str, int][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.Snips.html b/main/generated/torchaudio.datasets.Snips.html
index 9451dd7fc4..16ca55b77f 100644
--- a/main/generated/torchaudio.datasets.Snips.html
+++ b/main/generated/torchaudio.datasets.Snips.html
@@ -10,7 +10,7 @@
 
   
   
-  Snips — Torchaudio 2.2.0.dev20240424 documentation
+  Snips — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -461,7 +461,7 @@ 
__getitem__
 

 

-Snips.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶

+Snips.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.TEDLIUM.html b/main/generated/torchaudio.datasets.TEDLIUM.html
index 89da6aa6aa..801d5b66db 100644
--- a/main/generated/torchaudio.datasets.TEDLIUM.html
+++ b/main/generated/torchaudio.datasets.TEDLIUM.html
@@ -10,7 +10,7 @@
 
   
   
-  TEDLIUM — Torchaudio 2.2.0.dev20240424 documentation
+  TEDLIUM — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -486,7 +486,7 @@ 
__getitem__
 

 

-TEDLIUM.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶

+TEDLIUM.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.VCTK_092.html b/main/generated/torchaudio.datasets.VCTK_092.html
index 8422dc38b9..a3985a9369 100644
--- a/main/generated/torchaudio.datasets.VCTK_092.html
+++ b/main/generated/torchaudio.datasets.VCTK_092.html
@@ -10,7 +10,7 @@
 
   
   
-  VCTK_092 — Torchaudio 2.2.0.dev20240424 documentation
+  VCTK_092 — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -470,7 +470,7 @@ 
__getitem__
 

 

-VCTK_092.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶

+VCTK_092.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.VoxCeleb1Identification.html b/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
index 43426c64a3..af62f3342a 100644
--- a/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
+++ b/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
@@ -10,7 +10,7 @@
 
   
   
-  VoxCeleb1Identification — Torchaudio 2.2.0.dev20240424 documentation
+  VoxCeleb1Identification — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -474,7 +474,7 @@ 
__getitem__
 

 

-VoxCeleb1Identification.__getitem__(n: int) → Tuple[Tensor, int, int, str][source]Ā¶

+VoxCeleb1Identification.__getitem__(n: int) → Tuple[Tensor, int, int, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.VoxCeleb1Verification.html b/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
index f506129c2b..62940bda4c 100644
--- a/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
+++ b/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
@@ -10,7 +10,7 @@
 
   
   
-  VoxCeleb1Verification — Torchaudio 2.2.0.dev20240424 documentation
+  VoxCeleb1Verification — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -475,7 +475,7 @@ 
__getitem__
 

 

-VoxCeleb1Verification.__getitem__(n: int) → Tuple[Tensor, Tensor, int, int, str, str][source]Ā¶

+VoxCeleb1Verification.__getitem__(n: int) → Tuple[Tensor, Tensor, int, int, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.YESNO.html b/main/generated/torchaudio.datasets.YESNO.html
index 5e3a68b963..242b636e07 100644
--- a/main/generated/torchaudio.datasets.YESNO.html
+++ b/main/generated/torchaudio.datasets.YESNO.html
@@ -10,7 +10,7 @@
 
   
   
-  YESNO — Torchaudio 2.2.0.dev20240424 documentation
+  YESNO — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -466,7 +466,7 @@ 
__getitem__
 

 

-YESNO.__getitem__(n: int) → Tuple[Tensor, int, List[int]][source]Ā¶

+YESNO.__getitem__(n: int) → Tuple[Tensor, int, List[int]][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.functional.DB_to_amplitude.html b/main/generated/torchaudio.functional.DB_to_amplitude.html
index 45f86332f2..9bd4946d75 100644
--- a/main/generated/torchaudio.functional.DB_to_amplitude.html
+++ b/main/generated/torchaudio.functional.DB_to_amplitude.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.DB_to_amplitude — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.DB_to_amplitude — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.DB_to_amplitudeĀ¶

 

 

-torchaudio.functional.DB_to_amplitude(x: Tensor, ref: float, power: float) → Tensor[source]Ā¶

+torchaudio.functional.DB_to_amplitude(x: Tensor, ref: float, power: float) → Tensor[source]Ā¶
 
Turn a tensor from the decibel scale to the power/amplitude scale.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.TokenSpan.html b/main/generated/torchaudio.functional.TokenSpan.html
index ecd9e10e9a..5bbf1cefa1 100644
--- a/main/generated/torchaudio.functional.TokenSpan.html
+++ b/main/generated/torchaudio.functional.TokenSpan.html
@@ -10,7 +10,7 @@
 
   
   
-  TokenSpan — Torchaudio 2.2.0.dev20240424 documentation
+  TokenSpan — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
diff --git a/main/generated/torchaudio.functional.add_noise.html b/main/generated/torchaudio.functional.add_noise.html
index c6d3c2a8ff..2b9cfd81c3 100644
--- a/main/generated/torchaudio.functional.add_noise.html
+++ b/main/generated/torchaudio.functional.add_noise.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.add_noise — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.add_noise — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.add_noiseĀ¶

 

 

-torchaudio.functional.add_noise(waveform: Tensor, noise: Tensor, snr: Tensor, lengths: Optional[Tensor] = None) → Tensor[source]Ā¶

+torchaudio.functional.add_noise(waveform: Tensor, noise: Tensor, snr: Tensor, lengths: Optional[Tensor] = None) → Tensor[source]Ā¶
 
Scales and adds noise to waveform per signal-to-noise ratio.

 
Specifically, for each pair of waveform vector \(x \in \mathbb{R}^L\) and noise vector
 \(n \in \mathbb{R}^L\), the function computes output \(y\) as

@@ -461,10 +461,10 @@ 
torchaudio.functional.add_noise
 
Parameters:

 
    
-
  • waveform (torch.Tensor) ā€“ Input waveform, with shape (ā€¦, L).
    • 
-
  • noise (torch.Tensor) ā€“ Noise, with shape (ā€¦, L) (same shape as waveform).
    • 
-
  • snr (torch.Tensor) ā€“ Signal-to-noise ratios in dB, with shape (ā€¦,).
    • 
-
  • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform and noise, with shape
+
  • waveform (torch.Tensor) ā€“ Input waveform, with shape (ā€¦, L).
    • 
+
  • noise (torch.Tensor) ā€“ Noise, with shape (ā€¦, L) (same shape as waveform).
    • 
+
  • snr (torch.Tensor) ā€“ Signal-to-noise ratios in dB, with shape (ā€¦,).
    • 
+
  • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform and noise, with shape
 (ā€¦,) (leading dimensions must match those of waveform). If None, all elements in waveform
 and noise are treated as valid. (Default: None)
    • 
 

@@ -474,7 +474,7 @@ 
torchaudio.functional.add_noisewaveform).

 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.allpass_biquad.html b/main/generated/torchaudio.functional.allpass_biquad.html
index e66a3de203..0fb200e1df 100644
--- a/main/generated/torchaudio.functional.allpass_biquad.html
+++ b/main/generated/torchaudio.functional.allpass_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.allpass_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.allpass_biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,17 +440,17 @@
 
torchaudio.functional.allpass_biquadĀ¶

 

 

-torchaudio.functional.allpass_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707) → Tensor[source]Ā¶

+torchaudio.functional.allpass_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707) → Tensor[source]Ā¶
 
Design two-pole all-pass filter.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
 

 
Parameters:

 

 

 
Returns:

diff --git a/main/generated/torchaudio.functional.amplitude_to_DB.html b/main/generated/torchaudio.functional.amplitude_to_DB.html
index 75967cad77..101908adc0 100644
--- a/main/generated/torchaudio.functional.amplitude_to_DB.html
+++ b/main/generated/torchaudio.functional.amplitude_to_DB.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.amplitude_to_DB — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.amplitude_to_DB — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.amplitude_to_DBĀ¶

 

 

-torchaudio.functional.amplitude_to_DB(x: Tensor, multiplier: float, amin: float, db_multiplier: float, top_db: Optional[float] = None) → Tensor[source]Ā¶

+torchaudio.functional.amplitude_to_DB(x: Tensor, multiplier: float, amin: float, db_multiplier: float, top_db: Optional[float] = None) → Tensor[source]Ā¶
 
Turn a spectrogram from the power/amplitude scale to the decibel scale.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.apply_beamforming.html b/main/generated/torchaudio.functional.apply_beamforming.html
index d01d264419..5a19f8c414 100644
--- a/main/generated/torchaudio.functional.apply_beamforming.html
+++ b/main/generated/torchaudio.functional.apply_beamforming.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.apply_beamforming — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.apply_beamforming — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.apply_beamformingĀ¶

 

 

-torchaudio.functional.apply_beamforming(beamform_weights: Tensor, specgram: Tensor) → Tensor[source]Ā¶

+torchaudio.functional.apply_beamforming(beamform_weights: Tensor, specgram: Tensor) → Tensor[source]Ā¶
 
Apply the beamforming weight to the multi-channel noisy spectrum to obtain the single-channel enhanced spectrum.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.apply_codec.html b/main/generated/torchaudio.functional.apply_codec.html
index ee93383d99..406a5ed91f 100644
--- a/main/generated/torchaudio.functional.apply_codec.html
+++ b/main/generated/torchaudio.functional.apply_codec.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.apply_codec — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.apply_codec — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.apply_codecĀ¶

 

 

-torchaudio.functional.apply_codec(waveform: Tensor, sample_rate: int, format: str, channels_first: bool = True, compression: Optional[float] = None, encoding: Optional[str] = None, bits_per_sample: Optional[int] = None) → Tensor[source]Ā¶

+torchaudio.functional.apply_codec(waveform: Tensor, sample_rate: int, format: str, channels_first: bool = True, compression: Optional[float] = None, encoding: Optional[str] = None, bits_per_sample: Optional[int] = None) → Tensor[source]Ā¶
 
DEPRECATED:
 Apply codecs as a form of augmentation.

 This feature supports the following devices: CPU
diff --git a/main/generated/torchaudio.functional.band_biquad.html b/main/generated/torchaudio.functional.band_biquad.html
index 29489b6fd1..fd1e144461 100644
--- a/main/generated/torchaudio.functional.band_biquad.html
+++ b/main/generated/torchaudio.functional.band_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.band_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.band_biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.band_biquadĀ¶

 

 

-torchaudio.functional.band_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707, noise: bool = False) → Tensor[source]Ā¶

+torchaudio.functional.band_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707, noise: bool = False) → Tensor[source]Ā¶
 
Design two-pole band filter.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,8 +449,8 @@ 
torchaudio.functional.band_biquad
    
 
  • waveform (Tensor) ā€“ audio waveform of dimension of (ā€¦, time)
    • 
 
  • sample_rate (int) ā€“ sampling rate of the waveform, e.g. 44100 (Hz)
    • 
-
  • central_freq (float or torch.Tensor) ā€“ central frequency (in Hz)
    • 
-
  • Q (float or torch.Tensor, optional) ā€“ https://en.wikipedia.org/wiki/Q_factor (Default: 0.707).
    • 
+
  • central_freq (float or torch.Tensor) ā€“ central frequency (in Hz)
    • 
+
  • Q (float or torch.Tensor, optional) ā€“ https://en.wikipedia.org/wiki/Q_factor (Default: 0.707).
    • 
 
  • noise (bool, optional) ā€“ If True, uses the alternate mode for un-pitched audio (e.g. percussion).
 If False, uses mode oriented to pitched audio, i.e. voice, singing,
 or instrumental music (Default: False).
    • 
diff --git a/main/generated/torchaudio.functional.bandpass_biquad.html b/main/generated/torchaudio.functional.bandpass_biquad.html
index f990e80908..1a12fda88a 100644
--- a/main/generated/torchaudio.functional.bandpass_biquad.html
+++ b/main/generated/torchaudio.functional.bandpass_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.bandpass_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.bandpass_biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.bandpass_biquadĀ¶
    
 
    
 
    
-torchaudio.functional.bandpass_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707, const_skirt_gain: bool = False) → Tensor[source]Ā¶
    
+torchaudio.functional.bandpass_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707, const_skirt_gain: bool = False) → Tensor[source]Ā¶
 
    Design two-pole band-pass filter.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,8 +449,8 @@ 
    torchaudio.functional.bandpass_biquad
diff --git a/main/generated/torchaudio.functional.bandreject_biquad.html b/main/generated/torchaudio.functional.bandreject_biquad.html
index 534c03a29f..34d5ad8ce2 100644
--- a/main/generated/torchaudio.functional.bandreject_biquad.html
+++ b/main/generated/torchaudio.functional.bandreject_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.bandreject_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.bandreject_biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.bandreject_biquadĀ¶
    
 
    
 
    
-torchaudio.functional.bandreject_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707) → Tensor[source]Ā¶
    
+torchaudio.functional.bandreject_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707) → Tensor[source]Ā¶
 
    Design two-pole band-reject filter.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,8 +449,8 @@ 
    torchaudio.functional.bandreject_biquad
 
    
 
    Returns:
    
diff --git a/main/generated/torchaudio.functional.bass_biquad.html b/main/generated/torchaudio.functional.bass_biquad.html
index 9ebb742f04..e27063b24e 100644
--- a/main/generated/torchaudio.functional.bass_biquad.html
+++ b/main/generated/torchaudio.functional.bass_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.bass_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.bass_biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.bass_biquadĀ¶
    
 
    
 
    
-torchaudio.functional.bass_biquad(waveform: Tensor, sample_rate: int, gain: float, central_freq: float = 100, Q: float = 0.707) → Tensor[source]Ā¶
    
+torchaudio.functional.bass_biquad(waveform: Tensor, sample_rate: int, gain: float, central_freq: float = 100, Q: float = 0.707) → Tensor[source]Ā¶
 
    Design a bass tone-control effect.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,9 +449,9 @@ 
    torchaudio.functional.bass_biquad
 
    
 
    Returns:
    
diff --git a/main/generated/torchaudio.functional.biquad.html b/main/generated/torchaudio.functional.biquad.html
index 3c0cfe1afe..5e860ad9b4 100644
--- a/main/generated/torchaudio.functional.biquad.html
+++ b/main/generated/torchaudio.functional.biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.biquadĀ¶
    
 
    
 
    
-torchaudio.functional.biquad(waveform: Tensor, b0: float, b1: float, b2: float, a0: float, a1: float, a2: float) → Tensor[source]Ā¶
    
+torchaudio.functional.biquad(waveform: Tensor, b0: float, b1: float, b2: float, a0: float, a1: float, a2: float) → Tensor[source]Ā¶
 
    Perform a biquad filter of input tensor.  Initial conditions set to 0.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -448,12 +448,12 @@ 
    torchaudio.functional.biquadParameters:
 
    
 
    
 
    Returns:
    
diff --git a/main/generated/torchaudio.functional.compute_deltas.html b/main/generated/torchaudio.functional.compute_deltas.html
index fdaec03a85..89120c14c9 100644
--- a/main/generated/torchaudio.functional.compute_deltas.html
+++ b/main/generated/torchaudio.functional.compute_deltas.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.compute_deltas — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.compute_deltas — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.compute_deltasĀ¶
    
 
    
 
    
-torchaudio.functional.compute_deltas(specgram: Tensor, win_length: int = 5, mode: str = 'replicate') → Tensor[source]Ā¶
    
+torchaudio.functional.compute_deltas(specgram: Tensor, win_length: int = 5, mode: str = 'replicate') → Tensor[source]Ā¶
 
    Compute delta coefficients of a tensor, usually a spectrogram:
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.contrast.html b/main/generated/torchaudio.functional.contrast.html
index 067244dfd4..8aaccf5134 100644
--- a/main/generated/torchaudio.functional.contrast.html
+++ b/main/generated/torchaudio.functional.contrast.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.contrast — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.contrast — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.contrastĀ¶
    
 
    
 
    
-torchaudio.functional.contrast(waveform: Tensor, enhancement_amount: float = 75.0) → Tensor[source]Ā¶
    
+torchaudio.functional.contrast(waveform: Tensor, enhancement_amount: float = 75.0) → Tensor[source]Ā¶
 
    Apply contrast effect.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.convolve.html b/main/generated/torchaudio.functional.convolve.html
index 4f47489ca3..c934ba717d 100644
--- a/main/generated/torchaudio.functional.convolve.html
+++ b/main/generated/torchaudio.functional.convolve.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.convolve — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.convolve — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.convolveĀ¶
    
 
    
 
    
-torchaudio.functional.convolve(x: Tensor, y: Tensor, mode: str = 'full') → Tensor[source]Ā¶
    
+torchaudio.functional.convolve(x: Tensor, y: Tensor, mode: str = 'full') → Tensor[source]Ā¶
 
    Convolves inputs along their last dimension using the direct method.
 Note that, in contrast to torch.nn.functional.conv1d(), which actually applies the valid cross-correlation
 operator, this function applies the true convolution operator.
    
@@ -449,8 +449,8 @@ 
    torchaudio.functional.convolve
 
    Parameters:
    
 
      
-
    • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
      • 
-
    • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
+
    • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
      • 
+
    • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
 (leading dimensions must be broadcast-able with those of x).
      • 
 
    • mode (str, optional) ā€“ 
      Must be one of (ā€œfullā€, ā€œvalidā€, ā€œsameā€).
      
 
    
 
    Return type:
    
-
    torch.Tensor
    
+
    torch.Tensor
    
 
    
 
    
 
    
diff --git a/main/generated/torchaudio.functional.create_dct.html b/main/generated/torchaudio.functional.create_dct.html
index 03456ca347..3d6ed901a0 100644
--- a/main/generated/torchaudio.functional.create_dct.html
+++ b/main/generated/torchaudio.functional.create_dct.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.create_dct — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.create_dct — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.create_dctĀ¶
    
 
    
 
    
-torchaudio.functional.create_dct(n_mfcc: int, n_mels: int, norm: Optional[str]) → Tensor[source]Ā¶
    
+torchaudio.functional.create_dct(n_mfcc: int, n_mels: int, norm: Optional[str]) → Tensor[source]Ā¶
 
    Create a DCT transformation matrix with shape (n_mels, n_mfcc),
 normalized depending on norm.
    
 This feature supports the following devices: CPU
diff --git a/main/generated/torchaudio.functional.dcshift.html b/main/generated/torchaudio.functional.dcshift.html
index 31d279e59c..af82826377 100644
--- a/main/generated/torchaudio.functional.dcshift.html
+++ b/main/generated/torchaudio.functional.dcshift.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.dcshift — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.dcshift — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.dcshiftĀ¶
    
 
    
 
    
-torchaudio.functional.dcshift(waveform: Tensor, shift: float, limiter_gain: Optional[float] = None) → Tensor[source]Ā¶
    
+torchaudio.functional.dcshift(waveform: Tensor, shift: float, limiter_gain: Optional[float] = None) → Tensor[source]Ā¶
 
    Apply a DC shift to the audio. Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.deemph_biquad.html b/main/generated/torchaudio.functional.deemph_biquad.html
index 728a879fec..1facf830fc 100644
--- a/main/generated/torchaudio.functional.deemph_biquad.html
+++ b/main/generated/torchaudio.functional.deemph_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.deemph_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.deemph_biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.deemph_biquadĀ¶
    
 
    
 
    
-torchaudio.functional.deemph_biquad(waveform: Tensor, sample_rate: int) → Tensor[source]Ā¶
    
+torchaudio.functional.deemph_biquad(waveform: Tensor, sample_rate: int) → Tensor[source]Ā¶
 
    Apply ISO 908 CD de-emphasis (shelving) IIR filter.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.deemphasis.html b/main/generated/torchaudio.functional.deemphasis.html
index 6497805868..c07dd0a46b 100644
--- a/main/generated/torchaudio.functional.deemphasis.html
+++ b/main/generated/torchaudio.functional.deemphasis.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.deemphasis — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.deemphasis — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.deemphasisĀ¶
    
 
    
 
    
-torchaudio.functional.deemphasis(waveform, coeff: float = 0.97) → Tensor[source]Ā¶
    
+torchaudio.functional.deemphasis(waveform, coeff: float = 0.97) → Tensor[source]Ā¶
 
    De-emphasizes a waveform along its last dimension.
 Inverse of preemphasis(). Concretely, for each signal
 \(x\) in waveform, computes output \(y\) as
    
@@ -453,7 +453,7 @@ 
    torchaudio.functional.deemphasis
 
    Parameters:
    
 
      
-
    • waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
      • 
+
    • waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
      • 
 
    • coeff (float, optional) ā€“ De-emphasis coefficient. Typically between 0.0 and 1.0.
 (Default: 0.97)
      • 
 
    
@@ -462,7 +462,7 @@ 
    torchaudio.functional.deemphasis
    De-emphasized waveform, with shape (ā€¦, N).
    
 
    
 
    Return type:
    
-
    torch.Tensor
    
+
    torch.Tensor
    
 
    
 
    
 
    
diff --git a/main/generated/torchaudio.functional.detect_pitch_frequency.html b/main/generated/torchaudio.functional.detect_pitch_frequency.html
index ef3f3121c0..e8067d1c6c 100644
--- a/main/generated/torchaudio.functional.detect_pitch_frequency.html
+++ b/main/generated/torchaudio.functional.detect_pitch_frequency.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.detect_pitch_frequency — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.detect_pitch_frequency — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.detect_pitch_frequencyĀ¶
    
 
    
 
    
-torchaudio.functional.detect_pitch_frequency(waveform: Tensor, sample_rate: int, frame_time: float = 0.01, win_length: int = 30, freq_low: int = 85, freq_high: int = 3400) → Tensor[source]Ā¶
    
+torchaudio.functional.detect_pitch_frequency(waveform: Tensor, sample_rate: int, frame_time: float = 0.01, win_length: int = 30, freq_low: int = 85, freq_high: int = 3400) → Tensor[source]Ā¶
 
    Detect pitch frequency.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.dither.html b/main/generated/torchaudio.functional.dither.html
index fa0ccbd7f5..ba44ce354d 100644
--- a/main/generated/torchaudio.functional.dither.html
+++ b/main/generated/torchaudio.functional.dither.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.dither — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.dither — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.ditherĀ¶
    
 
    
 
    
-torchaudio.functional.dither(waveform: Tensor, density_function: str = 'TPDF', noise_shaping: bool = False) → Tensor[source]Ā¶
    
+torchaudio.functional.dither(waveform: Tensor, density_function: str = 'TPDF', noise_shaping: bool = False) → Tensor[source]Ā¶
 
    Apply dither
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.edit_distance.html b/main/generated/torchaudio.functional.edit_distance.html
index 21ee386a05..1caccdd64f 100644
--- a/main/generated/torchaudio.functional.edit_distance.html
+++ b/main/generated/torchaudio.functional.edit_distance.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.edit_distance — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.edit_distance — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.functional.equalizer_biquad.html b/main/generated/torchaudio.functional.equalizer_biquad.html
index 72a29b7677..83775e0bcb 100644
--- a/main/generated/torchaudio.functional.equalizer_biquad.html
+++ b/main/generated/torchaudio.functional.equalizer_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.equalizer_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.equalizer_biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.equalizer_biquadĀ¶
    
 
    
 
    
-torchaudio.functional.equalizer_biquad(waveform: Tensor, sample_rate: int, center_freq: float, gain: float, Q: float = 0.707) → Tensor[source]Ā¶
    
+torchaudio.functional.equalizer_biquad(waveform: Tensor, sample_rate: int, center_freq: float, gain: float, Q: float = 0.707) → Tensor[source]Ā¶
 
    Design biquad peaking equalizer filter and perform filtering.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -450,8 +450,8 @@ 
    torchaudio.functional.equalizer_biquadint) ā€“ sampling rate of the waveform, e.g. 44100 (Hz)
    
 
  • center_freq (float) ā€“ filterā€™s central frequency
    • 
-
  • gain (float or torch.Tensor) ā€“ desired gain at the boost (or attenuation) in dB
    • 
-
  • Q (float or torch.Tensor, optional) ā€“ https://en.wikipedia.org/wiki/Q_factor (Default: 0.707)
    • 
+
  • gain (float or torch.Tensor) ā€“ desired gain at the boost (or attenuation) in dB
    • 
+
  • Q (float or torch.Tensor, optional) ā€“ https://en.wikipedia.org/wiki/Q_factor (Default: 0.707)
    • 
 

 

 
Returns:

diff --git a/main/generated/torchaudio.functional.fftconvolve.html b/main/generated/torchaudio.functional.fftconvolve.html
index 77f9c88746..676c6566c6 100644
--- a/main/generated/torchaudio.functional.fftconvolve.html
+++ b/main/generated/torchaudio.functional.fftconvolve.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.fftconvolve — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.fftconvolve — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.fftconvolveĀ¶

 

 

-torchaudio.functional.fftconvolve(x: Tensor, y: Tensor, mode: str = 'full') → Tensor[source]Ā¶

+torchaudio.functional.fftconvolve(x: Tensor, y: Tensor, mode: str = 'full') → Tensor[source]Ā¶
 
Convolves inputs along their last dimension using FFT. For inputs with large last dimensions, this function
 is generally much faster than convolve().
 Note that, in contrast to torch.nn.functional.conv1d(), which actually applies the valid cross-correlation
@@ -451,8 +451,8 @@ 
torchaudio.functional.fftconvolve
 
Parameters:

 
    
-
  • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
    • 
-
  • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
+
  • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
    • 
+
  • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
 (leading dimensions must be broadcast-able with those of x).
    • 
 
  • mode (str, optional) ā€“ 
    Must be one of (ā€œfullā€, ā€œvalidā€, ā€œsameā€).
    
 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.filtfilt.html b/main/generated/torchaudio.functional.filtfilt.html
index 1587fd49ce..5767a9d003 100644
--- a/main/generated/torchaudio.functional.filtfilt.html
+++ b/main/generated/torchaudio.functional.filtfilt.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.filtfilt — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.filtfilt — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.filtfiltĀ¶

 

 

-torchaudio.functional.filtfilt(waveform: Tensor, a_coeffs: Tensor, b_coeffs: Tensor, clamp: bool = True) → Tensor[source]Ā¶

+torchaudio.functional.filtfilt(waveform: Tensor, a_coeffs: Tensor, b_coeffs: Tensor, clamp: bool = True) → Tensor[source]Ā¶
 
Apply an IIR filter forward and backward to a waveform.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.flanger.html b/main/generated/torchaudio.functional.flanger.html
index 72484186ed..4cad376cf2 100644
--- a/main/generated/torchaudio.functional.flanger.html
+++ b/main/generated/torchaudio.functional.flanger.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.flanger — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.flanger — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.flangerĀ¶

 

 

-torchaudio.functional.flanger(waveform: Tensor, sample_rate: int, delay: float = 0.0, depth: float = 2.0, regen: float = 0.0, width: float = 71.0, speed: float = 0.5, phase: float = 25.0, modulation: str = 'sinusoidal', interpolation: str = 'linear') → Tensor[source]Ā¶

+torchaudio.functional.flanger(waveform: Tensor, sample_rate: int, delay: float = 0.0, depth: float = 2.0, regen: float = 0.0, width: float = 71.0, speed: float = 0.5, phase: float = 25.0, modulation: str = 'sinusoidal', interpolation: str = 'linear') → Tensor[source]Ā¶
 
Apply a flanger effect to the audio. Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.forced_align.html b/main/generated/torchaudio.functional.forced_align.html
index 2b3fac3977..57e8d12e7f 100644
--- a/main/generated/torchaudio.functional.forced_align.html
+++ b/main/generated/torchaudio.functional.forced_align.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.forced_align — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.forced_align — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.forced_alignĀ¶

 

 

-torchaudio.functional.forced_align(log_probs: Tensor, targets: Tensor, input_lengths: Optional[Tensor] = None, target_lengths: Optional[Tensor] = None, blank: int = 0) → Tuple[Tensor, Tensor][source]Ā¶

+torchaudio.functional.forced_align(log_probs: Tensor, targets: Tensor, input_lengths: Optional[Tensor] = None, target_lengths: Optional[Tensor] = None, blank: int = 0) → Tuple[Tensor, Tensor][source]Ā¶
 
Align a CTC label sequence to an emission.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.frechet_distance.html b/main/generated/torchaudio.functional.frechet_distance.html
index b1c6ae85b3..1460536b9d 100644
--- a/main/generated/torchaudio.functional.frechet_distance.html
+++ b/main/generated/torchaudio.functional.frechet_distance.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.frechet_distance — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.frechet_distance — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -452,17 +452,17 @@ 
torchaudio.functional.frechet_distance
 
Parameters:

 
    
-
  • mu_x (torch.Tensor) ā€“ mean \(\mu_X\) of multivariate Gaussian \(X\), with shape (N,).
    • 
-
  • sigma_x (torch.Tensor) ā€“ covariance matrix \(\Sigma_X\) of \(X\), with shape (N, N).
    • 
-
  • mu_y (torch.Tensor) ā€“ mean \(\mu_Y\) of multivariate Gaussian \(Y\), with shape (N,).
    • 
-
  • sigma_y (torch.Tensor) ā€“ covariance matrix \(\Sigma_Y\) of \(Y\), with shape (N, N).
    • 
+
  • mu_x (torch.Tensor) ā€“ mean \(\mu_X\) of multivariate Gaussian \(X\), with shape (N,).
    • 
+
  • sigma_x (torch.Tensor) ā€“ covariance matrix \(\Sigma_X\) of \(X\), with shape (N, N).
    • 
+
  • mu_y (torch.Tensor) ā€“ mean \(\mu_Y\) of multivariate Gaussian \(Y\), with shape (N,).
    • 
+
  • sigma_y (torch.Tensor) ā€“ covariance matrix \(\Sigma_Y\) of \(Y\), with shape (N, N).
    • 
 

 

 
Returns:

 
the FrƩchet distance between \(X\) and \(Y\).

 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.gain.html b/main/generated/torchaudio.functional.gain.html
index dd6acd3d8f..a4d77c451c 100644
--- a/main/generated/torchaudio.functional.gain.html
+++ b/main/generated/torchaudio.functional.gain.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.gain — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.gain — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.gainĀ¶

 

 

-torchaudio.functional.gain(waveform: Tensor, gain_db: float = 1.0) → Tensor[source]Ā¶

+torchaudio.functional.gain(waveform: Tensor, gain_db: float = 1.0) → Tensor[source]Ā¶
 
Apply amplification or attenuation to the whole waveform.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.griffinlim.html b/main/generated/torchaudio.functional.griffinlim.html
index db2ec6857a..8d6b4f17f9 100644
--- a/main/generated/torchaudio.functional.griffinlim.html
+++ b/main/generated/torchaudio.functional.griffinlim.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.griffinlim — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.griffinlim — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.griffinlimĀ¶

 

 

-torchaudio.functional.griffinlim(specgram: Tensor, window: Tensor, n_fft: int, hop_length: int, win_length: int, power: float, n_iter: int, momentum: float, length: Optional[int], rand_init: bool) → Tensor[source]Ā¶

+torchaudio.functional.griffinlim(specgram: Tensor, window: Tensor, n_fft: int, hop_length: int, win_length: int, power: float, n_iter: int, momentum: float, length: Optional[int], rand_init: bool) → Tensor[source]Ā¶
 
Compute waveform from a linear scale magnitude spectrogram using the Griffin-Lim transformation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.highpass_biquad.html b/main/generated/torchaudio.functional.highpass_biquad.html
index 6f50bf50ce..f43c812428 100644
--- a/main/generated/torchaudio.functional.highpass_biquad.html
+++ b/main/generated/torchaudio.functional.highpass_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.highpass_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.highpass_biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.highpass_biquadĀ¶

 

 

-torchaudio.functional.highpass_biquad(waveform: Tensor, sample_rate: int, cutoff_freq: float, Q: float = 0.707) → Tensor[source]Ā¶

+torchaudio.functional.highpass_biquad(waveform: Tensor, sample_rate: int, cutoff_freq: float, Q: float = 0.707) → Tensor[source]Ā¶
 
Design biquad highpass filter and perform filtering.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,8 +449,8 @@ 
torchaudio.functional.highpass_biquad
 

 
Returns:

diff --git a/main/generated/torchaudio.functional.inverse_spectrogram.html b/main/generated/torchaudio.functional.inverse_spectrogram.html
index cbb19e61b7..c903fb197d 100644
--- a/main/generated/torchaudio.functional.inverse_spectrogram.html
+++ b/main/generated/torchaudio.functional.inverse_spectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.inverse_spectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.inverse_spectrogram — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.inverse_spectrogramĀ¶

 

 

-torchaudio.functional.inverse_spectrogram(spectrogram: Tensor, length: Optional[int], pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int, normalized: Union[bool, str], center: bool = True, pad_mode: str = 'reflect', onesided: bool = True) → Tensor[source]Ā¶

+torchaudio.functional.inverse_spectrogram(spectrogram: Tensor, length: Optional[int], pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int, normalized: Union[bool, str], center: bool = True, pad_mode: str = 'reflect', onesided: bool = True) → Tensor[source]Ā¶
 
Create an inverse spectrogram or a batch of inverse spectrograms from the provided
 complex-valued spectrogram.

 This feature supports the following devices: CPU, CUDA
diff --git a/main/generated/torchaudio.functional.lfilter.html b/main/generated/torchaudio.functional.lfilter.html
index d01557b0ee..3f31de2d35 100644
--- a/main/generated/torchaudio.functional.lfilter.html
+++ b/main/generated/torchaudio.functional.lfilter.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.lfilter — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.lfilter — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.lfilterĀ¶

 

 

-torchaudio.functional.lfilter(waveform: Tensor, a_coeffs: Tensor, b_coeffs: Tensor, clamp: bool = True, batching: bool = True) → Tensor[source]Ā¶

+torchaudio.functional.lfilter(waveform: Tensor, a_coeffs: Tensor, b_coeffs: Tensor, clamp: bool = True, batching: bool = True) → Tensor[source]Ā¶
 
Perform an IIR filter by evaluating difference equation, using differentiable implementation
 developed independently by Yu et al. [Yu and Fazekas, 2023] and Forgione et al. [Forgione and Piga, 2021].

 This feature supports the following devices: CPU, CUDA
diff --git a/main/generated/torchaudio.functional.linear_fbanks.html b/main/generated/torchaudio.functional.linear_fbanks.html
index 65e262e332..37c19de459 100644
--- a/main/generated/torchaudio.functional.linear_fbanks.html
+++ b/main/generated/torchaudio.functional.linear_fbanks.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.linear_fbanks — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.linear_fbanks — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.linear_fbanksĀ¶

 

 

-torchaudio.functional.linear_fbanks(n_freqs: int, f_min: float, f_max: float, n_filter: int, sample_rate: int) → Tensor[source]Ā¶

+torchaudio.functional.linear_fbanks(n_freqs: int, f_min: float, f_max: float, n_filter: int, sample_rate: int) → Tensor[source]Ā¶
 
Creates a linear triangular filterbank.

 This feature supports the following devices: CPU
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.loudness.html b/main/generated/torchaudio.functional.loudness.html
index ed2a916ae3..89b9946de0 100644
--- a/main/generated/torchaudio.functional.loudness.html
+++ b/main/generated/torchaudio.functional.loudness.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.loudness — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.loudness — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,14 +440,14 @@
 
torchaudio.functional.loudnessĀ¶

 

 

-torchaudio.functional.loudness(waveform: Tensor, sample_rate: int)[source]Ā¶

+torchaudio.functional.loudness(waveform: Tensor, sample_rate: int)[source]Ā¶
 
Measure audio loudness according to the ITU-R BS.1770-4 recommendation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
 

 
Parameters:

 
    
-
  • waveform (torch.Tensor) ā€“ audio waveform of dimension (ā€¦, channels, time)
    • 
+
  • waveform (torch.Tensor) ā€“ audio waveform of dimension (ā€¦, channels, time)
    • 
 
  • sample_rate (int) ā€“ sampling rate of the waveform
    • 
 

 

diff --git a/main/generated/torchaudio.functional.lowpass_biquad.html b/main/generated/torchaudio.functional.lowpass_biquad.html
index 07dea942dc..a014623356 100644
--- a/main/generated/torchaudio.functional.lowpass_biquad.html
+++ b/main/generated/torchaudio.functional.lowpass_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.lowpass_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.lowpass_biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,17 +440,17 @@
 
torchaudio.functional.lowpass_biquadĀ¶

 

 

-torchaudio.functional.lowpass_biquad(waveform: Tensor, sample_rate: int, cutoff_freq: float, Q: float = 0.707) → Tensor[source]Ā¶

+torchaudio.functional.lowpass_biquad(waveform: Tensor, sample_rate: int, cutoff_freq: float, Q: float = 0.707) → Tensor[source]Ā¶
 
Design biquad lowpass filter and perform filtering.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
 

 
Parameters:

 

 

 
Returns:

diff --git a/main/generated/torchaudio.functional.mask_along_axis.html b/main/generated/torchaudio.functional.mask_along_axis.html
index ed05723713..0790ab63f0 100644
--- a/main/generated/torchaudio.functional.mask_along_axis.html
+++ b/main/generated/torchaudio.functional.mask_along_axis.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mask_along_axis — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mask_along_axis — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mask_along_axisĀ¶

 

 

-torchaudio.functional.mask_along_axis(specgram: Tensor, mask_param: int, mask_value: float, axis: int, p: float = 1.0) → Tensor[source]Ā¶

+torchaudio.functional.mask_along_axis(specgram: Tensor, mask_param: int, mask_value: float, axis: int, p: float = 1.0) → Tensor[source]Ā¶
 
Apply a mask along axis.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.mask_along_axis_iid.html b/main/generated/torchaudio.functional.mask_along_axis_iid.html
index b20c3e1039..ba9552777a 100644
--- a/main/generated/torchaudio.functional.mask_along_axis_iid.html
+++ b/main/generated/torchaudio.functional.mask_along_axis_iid.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mask_along_axis_iid — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mask_along_axis_iid — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mask_along_axis_iidĀ¶

 

 

-torchaudio.functional.mask_along_axis_iid(specgrams: Tensor, mask_param: int, mask_value: float, axis: int, p: float = 1.0) → Tensor[source]Ā¶

+torchaudio.functional.mask_along_axis_iid(specgrams: Tensor, mask_param: int, mask_value: float, axis: int, p: float = 1.0) → Tensor[source]Ā¶
 
Apply a mask along axis.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.melscale_fbanks.html b/main/generated/torchaudio.functional.melscale_fbanks.html
index f690506e71..f9cacd423c 100644
--- a/main/generated/torchaudio.functional.melscale_fbanks.html
+++ b/main/generated/torchaudio.functional.melscale_fbanks.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.melscale_fbanks — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.melscale_fbanks — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.melscale_fbanksĀ¶

 

 

-torchaudio.functional.melscale_fbanks(n_freqs: int, f_min: float, f_max: float, n_mels: int, sample_rate: int, norm: Optional[str] = None, mel_scale: str = 'htk') → Tensor[source]Ā¶

+torchaudio.functional.melscale_fbanks(n_freqs: int, f_min: float, f_max: float, n_mels: int, sample_rate: int, norm: Optional[str] = None, mel_scale: str = 'htk') → Tensor[source]Ā¶
 
Create a frequency bin conversion matrix.

 This feature supports the following devices: CPU
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.merge_tokens.html b/main/generated/torchaudio.functional.merge_tokens.html
index f46fb3f7e1..59d88e36fe 100644
--- a/main/generated/torchaudio.functional.merge_tokens.html
+++ b/main/generated/torchaudio.functional.merge_tokens.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.merge_tokens — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.merge_tokens — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.merge_tokensĀ¶

 

 

-torchaudio.functional.merge_tokens(tokens: Tensor, scores: Tensor, blank: int = 0) → List[TokenSpan][source]Ā¶

+torchaudio.functional.merge_tokens(tokens: Tensor, scores: Tensor, blank: int = 0) → List[TokenSpan][source]Ā¶
 
Removes repeated tokens and blank tokens from the given CTC token sequence.

 

 
Parameters:

diff --git a/main/generated/torchaudio.functional.mu_law_decoding.html b/main/generated/torchaudio.functional.mu_law_decoding.html
index 19e1615970..1db21ec38d 100644
--- a/main/generated/torchaudio.functional.mu_law_decoding.html
+++ b/main/generated/torchaudio.functional.mu_law_decoding.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mu_law_decoding — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mu_law_decoding — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mu_law_decodingĀ¶

 

 

-torchaudio.functional.mu_law_decoding(x_mu: Tensor, quantization_channels: int) → Tensor[source]Ā¶

+torchaudio.functional.mu_law_decoding(x_mu: Tensor, quantization_channels: int) → Tensor[source]Ā¶
 
Decode mu-law encoded signal.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.mu_law_encoding.html b/main/generated/torchaudio.functional.mu_law_encoding.html
index bbddb3cbbd..76d514cedd 100644
--- a/main/generated/torchaudio.functional.mu_law_encoding.html
+++ b/main/generated/torchaudio.functional.mu_law_encoding.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mu_law_encoding — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mu_law_encoding — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mu_law_encodingĀ¶

 

 

-torchaudio.functional.mu_law_encoding(x: Tensor, quantization_channels: int) → Tensor[source]Ā¶

+torchaudio.functional.mu_law_encoding(x: Tensor, quantization_channels: int) → Tensor[source]Ā¶
 
Encode signal based on mu-law companding.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.mvdr_weights_rtf.html b/main/generated/torchaudio.functional.mvdr_weights_rtf.html
index 0ae4c74b02..6e67599b0c 100644
--- a/main/generated/torchaudio.functional.mvdr_weights_rtf.html
+++ b/main/generated/torchaudio.functional.mvdr_weights_rtf.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mvdr_weights_rtf — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mvdr_weights_rtf — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mvdr_weights_rtfĀ¶

 

 

-torchaudio.functional.mvdr_weights_rtf(rtf: Tensor, psd_n: Tensor, reference_channel: Optional[Union[int, Tensor]] = None, diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶

+torchaudio.functional.mvdr_weights_rtf(rtf: Tensor, psd_n: Tensor, reference_channel: Optional[Union[int, Tensor]] = None, diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶
 
Compute the Minimum Variance Distortionless Response (MVDR [Capon, 1969]) beamforming weights
 based on the relative transfer function (RTF) and power spectral density (PSD) matrix of noise.

 This feature supports the following devices: CPU, CUDA
@@ -459,11 +459,11 @@ 
torchaudio.functional.mvdr_weights_rtf
 
Parameters:

 
    
-
  • rtf (torch.Tensor) ā€“ The complex-valued RTF vector of target speech.
+
  • rtf (torch.Tensor) ā€“ The complex-valued RTF vector of target speech.
 Tensor with dimensions (ā€¦, freq, channel).
    • 
-
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
+
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions (ā€¦, freq, channel, channel).
    • 
-
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
+
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
 If the dtype is int, it represents the reference channel index.
 If the dtype is torch.Tensor, its shape is (ā€¦, channel), where the channel dimension
 is one-hot.
    • 
@@ -479,7 +479,7 @@ 
    torchaudio.functional.mvdr_weights_rtf
    The complex-valued MVDR beamforming weight matrix with dimensions (ā€¦, freq, channel).
    
 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.mvdr_weights_souden.html b/main/generated/torchaudio.functional.mvdr_weights_souden.html
index f6f862083a..3c30279885 100644
--- a/main/generated/torchaudio.functional.mvdr_weights_souden.html
+++ b/main/generated/torchaudio.functional.mvdr_weights_souden.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mvdr_weights_souden — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mvdr_weights_souden — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mvdr_weights_soudenĀ¶

 

 

-torchaudio.functional.mvdr_weights_souden(psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶

+torchaudio.functional.mvdr_weights_souden(psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶
 
Compute the Minimum Variance Distortionless Response (MVDR [Capon, 1969]) beamforming weights
 by the method proposed by Souden et, al. [Souden et al., 2009].

 This feature supports the following devices: CPU, CUDA
@@ -458,11 +458,11 @@ 
torchaudio.functional.mvdr_weights_souden
 
Parameters:

 
    
-
  • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
+
  • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions (ā€¦, freq, channel, channel).
    • 
-
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
+
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions (ā€¦, freq, channel, channel).
    • 
-
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
+
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
 If the dtype is int, it represents the reference channel index.
 If the dtype is torch.Tensor, its shape is (ā€¦, channel), where the channel dimension
 is one-hot.
    • 
@@ -478,7 +478,7 @@ 
    torchaudio.functional.mvdr_weights_souden
    The complex-valued MVDR beamforming weight matrix with dimensions (ā€¦, freq, channel).
    
 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.overdrive.html b/main/generated/torchaudio.functional.overdrive.html
index 1642216148..8a5401436c 100644
--- a/main/generated/torchaudio.functional.overdrive.html
+++ b/main/generated/torchaudio.functional.overdrive.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.overdrive — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.overdrive — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.overdriveĀ¶

 

 

-torchaudio.functional.overdrive(waveform: Tensor, gain: float = 20, colour: float = 20) → Tensor[source]Ā¶

+torchaudio.functional.overdrive(waveform: Tensor, gain: float = 20, colour: float = 20) → Tensor[source]Ā¶
 
Apply a overdrive effect to the audio. Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.phase_vocoder.html b/main/generated/torchaudio.functional.phase_vocoder.html
index 03d64598e4..597f5f8b37 100644
--- a/main/generated/torchaudio.functional.phase_vocoder.html
+++ b/main/generated/torchaudio.functional.phase_vocoder.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.phase_vocoder — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.phase_vocoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.phase_vocoderĀ¶

 

 

-torchaudio.functional.phase_vocoder(complex_specgrams: Tensor, rate: float, phase_advance: Tensor) → Tensor[source]Ā¶

+torchaudio.functional.phase_vocoder(complex_specgrams: Tensor, rate: float, phase_advance: Tensor) → Tensor[source]Ā¶
 
Given a STFT tensor, speed up in time without modifying pitch by a factor of rate.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.phaser.html b/main/generated/torchaudio.functional.phaser.html
index 26d90199b3..d27f51bc3b 100644
--- a/main/generated/torchaudio.functional.phaser.html
+++ b/main/generated/torchaudio.functional.phaser.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.phaser — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.phaser — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.phaserĀ¶

 

 

-torchaudio.functional.phaser(waveform: Tensor, sample_rate: int, gain_in: float = 0.4, gain_out: float = 0.74, delay_ms: float = 3.0, decay: float = 0.4, mod_speed: float = 0.5, sinusoidal: bool = True) → Tensor[source]Ā¶

+torchaudio.functional.phaser(waveform: Tensor, sample_rate: int, gain_in: float = 0.4, gain_out: float = 0.74, delay_ms: float = 3.0, decay: float = 0.4, mod_speed: float = 0.5, sinusoidal: bool = True) → Tensor[source]Ā¶
 
Apply a phasing effect to the audio. Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.pitch_shift.html b/main/generated/torchaudio.functional.pitch_shift.html
index b32a56eed7..99062e5b4d 100644
--- a/main/generated/torchaudio.functional.pitch_shift.html
+++ b/main/generated/torchaudio.functional.pitch_shift.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.pitch_shift — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.pitch_shift — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.pitch_shiftĀ¶

 

 

-torchaudio.functional.pitch_shift(waveform: Tensor, sample_rate: int, n_steps: int, bins_per_octave: int = 12, n_fft: int = 512, win_length: Optional[int] = None, hop_length: Optional[int] = None, window: Optional[Tensor] = None) → Tensor[source]Ā¶

+torchaudio.functional.pitch_shift(waveform: Tensor, sample_rate: int, n_steps: int, bins_per_octave: int = 12, n_fft: int = 512, win_length: Optional[int] = None, hop_length: Optional[int] = None, window: Optional[Tensor] = None) → Tensor[source]Ā¶
 
Shift the pitch of a waveform by n_steps steps.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.preemphasis.html b/main/generated/torchaudio.functional.preemphasis.html
index 9985a19d56..f089ae2a6b 100644
--- a/main/generated/torchaudio.functional.preemphasis.html
+++ b/main/generated/torchaudio.functional.preemphasis.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.preemphasis — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.preemphasis — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.preemphasisĀ¶

 

 

-torchaudio.functional.preemphasis(waveform, coeff: float = 0.97) → Tensor[source]Ā¶

+torchaudio.functional.preemphasis(waveform, coeff: float = 0.97) → Tensor[source]Ā¶
 
Pre-emphasizes a waveform along its last dimension, i.e.
 for each signal \(x\) in waveform, computes
 output \(y\) as

@@ -453,7 +453,7 @@ 
torchaudio.functional.preemphasis
 
Parameters:

 
    
-
  • waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
    • 
+
  • waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
    • 
 
  • coeff (float, optional) ā€“ Pre-emphasis coefficient. Typically between 0.0 and 1.0.
 (Default: 0.97)
    • 
 

@@ -462,7 +462,7 @@ 
torchaudio.functional.preemphasis
Pre-emphasized waveform, with shape (ā€¦, N).

 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.psd.html b/main/generated/torchaudio.functional.psd.html
index 3a9be10008..4bc9d3ae78 100644
--- a/main/generated/torchaudio.functional.psd.html
+++ b/main/generated/torchaudio.functional.psd.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.psd — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.psd — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,16 +440,16 @@
 
torchaudio.functional.psdĀ¶

 

 

-torchaudio.functional.psd(specgram: Tensor, mask: Optional[Tensor] = None, normalize: bool = True, eps: float = 1e-10) → Tensor[source]Ā¶

+torchaudio.functional.psd(specgram: Tensor, mask: Optional[Tensor] = None, normalize: bool = True, eps: float = 1e-10) → Tensor[source]Ā¶
 
Compute cross-channel power spectral density (PSD) matrix.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
 

 
Parameters:

 
    
-
  • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
+
  • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
 Tensor with dimensions (ā€¦, channel, freq, time).
    • 
-
  • mask (torch.Tensor or None, optional) ā€“ Time-Frequency mask for normalization.
+
  • mask (torch.Tensor or None, optional) ā€“ Time-Frequency mask for normalization.
 Tensor with dimensions (ā€¦, freq, time). (Default: None)
    • 
 
  • normalize (bool, optional) ā€“ If True, normalize the mask along the time dimension. (Default: True)
    • 
 
  • eps (float, optional) ā€“ Value to add to the denominator in mask normalization. (Default: 1e-15)
    • 
@@ -460,7 +460,7 @@ 
    torchaudio.functional.psdReturn type:
-
    torch.Tensor
    
+
    torch.Tensor
    
 
    
 

 

diff --git a/main/generated/torchaudio.functional.resample.html b/main/generated/torchaudio.functional.resample.html
index ab4da53baa..67c6b90a83 100644
--- a/main/generated/torchaudio.functional.resample.html
+++ b/main/generated/torchaudio.functional.resample.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.resample — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.resample — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.resampleĀ¶

 

 

-torchaudio.functional.resample(waveform: Tensor, orig_freq: int, new_freq: int, lowpass_filter_width: int = 6, rolloff: float = 0.99, resampling_method: str = 'sinc_interp_hann', beta: Optional[float] = None) → Tensor[source]Ā¶

+torchaudio.functional.resample(waveform: Tensor, orig_freq: int, new_freq: int, lowpass_filter_width: int = 6, rolloff: float = 0.99, resampling_method: str = 'sinc_interp_hann', beta: Optional[float] = None) → Tensor[source]Ā¶
 
Resamples the waveform at the new frequency using bandlimited interpolation. [Smith, 2020].

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.riaa_biquad.html b/main/generated/torchaudio.functional.riaa_biquad.html
index 500add7a49..49f4b31e3f 100644
--- a/main/generated/torchaudio.functional.riaa_biquad.html
+++ b/main/generated/torchaudio.functional.riaa_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.riaa_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.riaa_biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.riaa_biquadĀ¶

 

 

-torchaudio.functional.riaa_biquad(waveform: Tensor, sample_rate: int) → Tensor[source]Ā¶

+torchaudio.functional.riaa_biquad(waveform: Tensor, sample_rate: int) → Tensor[source]Ā¶
 
Apply RIAA vinyl playback equalization.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.rnnt_loss.html b/main/generated/torchaudio.functional.rnnt_loss.html
index ad97a29032..64b01fd7b0 100644
--- a/main/generated/torchaudio.functional.rnnt_loss.html
+++ b/main/generated/torchaudio.functional.rnnt_loss.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.rnnt_loss — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.rnnt_loss — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.rnnt_lossĀ¶

 

 

-torchaudio.functional.rnnt_loss(logits: Tensor, targets: Tensor, logit_lengths: Tensor, target_lengths: Tensor, blank: int = -1, clamp: float = -1, reduction: str = 'mean', fused_log_softmax: bool = True)[source]Ā¶

+torchaudio.functional.rnnt_loss(logits: Tensor, targets: Tensor, logit_lengths: Tensor, target_lengths: Tensor, blank: int = -1, clamp: float = -1, reduction: str = 'mean', fused_log_softmax: bool = True)[source]Ā¶
 
Compute the RNN Transducer loss from Sequence Transduction with Recurrent Neural Networks
 [Graves, 2012].

 This feature supports the following devices: CPU, CUDA
diff --git a/main/generated/torchaudio.functional.rtf_evd.html b/main/generated/torchaudio.functional.rtf_evd.html
index 4446465711..97c7cadb6f 100644
--- a/main/generated/torchaudio.functional.rtf_evd.html
+++ b/main/generated/torchaudio.functional.rtf_evd.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.rtf_evd — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.rtf_evd — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.rtf_evdĀ¶

 

 

-torchaudio.functional.rtf_evd(psd_s: Tensor) → Tensor[source]Ā¶

+torchaudio.functional.rtf_evd(psd_s: Tensor) → Tensor[source]Ā¶
 
Estimate the relative transfer function (RTF) or the steering vector by eigenvalue decomposition.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.rtf_power.html b/main/generated/torchaudio.functional.rtf_power.html
index ccfb59ce07..7b6baceae9 100644
--- a/main/generated/torchaudio.functional.rtf_power.html
+++ b/main/generated/torchaudio.functional.rtf_power.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.rtf_power — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.rtf_power — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,18 +440,18 @@
 
torchaudio.functional.rtf_powerĀ¶

 

 

-torchaudio.functional.rtf_power(psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], n_iter: int = 3, diagonal_loading: bool = True, diag_eps: float = 1e-07) → Tensor[source]Ā¶

+torchaudio.functional.rtf_power(psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], n_iter: int = 3, diagonal_loading: bool = True, diag_eps: float = 1e-07) → Tensor[source]Ā¶
 
Estimate the relative transfer function (RTF) or the steering vector by the power method.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
 

 
Parameters:

 
    
-
  • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
+
  • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions (ā€¦, freq, channel, channel).
    • 
-
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
+
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions (ā€¦, freq, channel, channel).
    • 
-
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
+
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
 If the dtype is int, it represents the reference channel index.
 If the dtype is torch.Tensor, its shape is (ā€¦, channel), where the channel dimension
 is one-hot.
    • 
@@ -466,7 +466,7 @@ 
    torchaudio.functional.rtf_powerReturn type:
-
    torch.Tensor
    
+
    torch.Tensor
    
 
    
 

 

diff --git a/main/generated/torchaudio.functional.sliding_window_cmn.html b/main/generated/torchaudio.functional.sliding_window_cmn.html
index ae55773f97..9362beb4a3 100644
--- a/main/generated/torchaudio.functional.sliding_window_cmn.html
+++ b/main/generated/torchaudio.functional.sliding_window_cmn.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.sliding_window_cmn — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.sliding_window_cmn — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.sliding_window_cmnĀ¶

 

 

-torchaudio.functional.sliding_window_cmn(specgram: Tensor, cmn_window: int = 600, min_cmn_window: int = 100, center: bool = False, norm_vars: bool = False) → Tensor[source]Ā¶

+torchaudio.functional.sliding_window_cmn(specgram: Tensor, cmn_window: int = 600, min_cmn_window: int = 100, center: bool = False, norm_vars: bool = False) → Tensor[source]Ā¶
 
Apply sliding-window cepstral mean (and optionally variance) normalization per utterance.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.spectral_centroid.html b/main/generated/torchaudio.functional.spectral_centroid.html
index 75ecfd1b32..98bf8eb6a0 100644
--- a/main/generated/torchaudio.functional.spectral_centroid.html
+++ b/main/generated/torchaudio.functional.spectral_centroid.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.spectral_centroid — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.spectral_centroid — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.spectral_centroidĀ¶

 

 

-torchaudio.functional.spectral_centroid(waveform: Tensor, sample_rate: int, pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int) → Tensor[source]Ā¶

+torchaudio.functional.spectral_centroid(waveform: Tensor, sample_rate: int, pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int) → Tensor[source]Ā¶
 
Compute the spectral centroid for each channel along the time axis.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.spectrogram.html b/main/generated/torchaudio.functional.spectrogram.html
index 4a79d78d98..114cec28a2 100644
--- a/main/generated/torchaudio.functional.spectrogram.html
+++ b/main/generated/torchaudio.functional.spectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.spectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.spectrogram — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.spectrogramĀ¶

 

 

-torchaudio.functional.spectrogram(waveform: Tensor, pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int, power: Optional[float], normalized: Union[bool, str], center: bool = True, pad_mode: str = 'reflect', onesided: bool = True, return_complex: Optional[bool] = None) → Tensor[source]Ā¶

+torchaudio.functional.spectrogram(waveform: Tensor, pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int, power: Optional[float], normalized: Union[bool, str], center: bool = True, pad_mode: str = 'reflect', onesided: bool = True, return_complex: Optional[bool] = None) → Tensor[source]Ā¶
 
Create a spectrogram or a batch of spectrograms from a raw audio signal.
 The spectrogram can be either magnitude-only or complex.

 This feature supports the following devices: CPU, CUDA
diff --git a/main/generated/torchaudio.functional.speed.html b/main/generated/torchaudio.functional.speed.html
index a4eb005cf4..de8fba4624 100644
--- a/main/generated/torchaudio.functional.speed.html
+++ b/main/generated/torchaudio.functional.speed.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.speed — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.speed — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,18 +440,18 @@
 
torchaudio.functional.speedĀ¶

 

 

-torchaudio.functional.speed(waveform: Tensor, orig_freq: int, factor: float, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶

+torchaudio.functional.speed(waveform: Tensor, orig_freq: int, factor: float, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
 
Adjusts waveform speed.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
 

 
Parameters:

 
    
-
  • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
    • 
+
  • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
    • 
 
  • orig_freq (int) ā€“ Original frequency of the signals in waveform.
    • 
 
  • factor (float) ā€“ Factor by which to adjust speed of input. Values greater than 1.0
 compress waveform in time, whereas values less than 1.0 stretch waveform in time.
    • 
-
  • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
+
  • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
 If None, all elements in waveform are treated as valid. (Default: None)
    • 
 

 

@@ -466,7 +466,7 @@ 
torchaudio.functional.speedReturn type:
-
(torch.Tensor, torch.Tensor or None)

+
(torch.Tensor, torch.Tensor or None)

 

 

 

diff --git a/main/generated/torchaudio.functional.treble_biquad.html b/main/generated/torchaudio.functional.treble_biquad.html
index 4c6b028381..f552c25270 100644
--- a/main/generated/torchaudio.functional.treble_biquad.html
+++ b/main/generated/torchaudio.functional.treble_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.treble_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.treble_biquad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.treble_biquadĀ¶

 

 

-torchaudio.functional.treble_biquad(waveform: Tensor, sample_rate: int, gain: float, central_freq: float = 3000, Q: float = 0.707) → Tensor[source]Ā¶

+torchaudio.functional.treble_biquad(waveform: Tensor, sample_rate: int, gain: float, central_freq: float = 3000, Q: float = 0.707) → Tensor[source]Ā¶
 
Design a treble tone-control effect.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,9 +449,9 @@ 
torchaudio.functional.treble_biquad
 

 
Returns:

diff --git a/main/generated/torchaudio.functional.vad.html b/main/generated/torchaudio.functional.vad.html
index 8e5fd190b7..8855456975 100644
--- a/main/generated/torchaudio.functional.vad.html
+++ b/main/generated/torchaudio.functional.vad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.vad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.vad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.vadĀ¶

 

 

-torchaudio.functional.vad(waveform: Tensor, sample_rate: int, trigger_level: float = 7.0, trigger_time: float = 0.25, search_time: float = 1.0, allowed_gap: float = 0.25, pre_trigger_time: float = 0.0, boot_time: float = 0.35, noise_up_time: float = 0.1, noise_down_time: float = 0.01, noise_reduction_amount: float = 1.35, measure_freq: float = 20.0, measure_duration: Optional[float] = None, measure_smooth_time: float = 0.4, hp_filter_freq: float = 50.0, lp_filter_freq: float = 6000.0, hp_lifter_freq: float = 150.0, lp_lifter_freq: float = 2000.0) → Tensor[source]Ā¶

+torchaudio.functional.vad(waveform: Tensor, sample_rate: int, trigger_level: float = 7.0, trigger_time: float = 0.25, search_time: float = 1.0, allowed_gap: float = 0.25, pre_trigger_time: float = 0.0, boot_time: float = 0.35, noise_up_time: float = 0.1, noise_down_time: float = 0.01, noise_reduction_amount: float = 1.35, measure_freq: float = 20.0, measure_duration: Optional[float] = None, measure_smooth_time: float = 0.4, hp_filter_freq: float = 50.0, lp_filter_freq: float = 6000.0, hp_lifter_freq: float = 150.0, lp_lifter_freq: float = 2000.0) → Tensor[source]Ā¶
 
Voice Activity Detector. Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.info.html b/main/generated/torchaudio.info.html
index c076f56fb8..1b8078e917 100644
--- a/main/generated/torchaudio.info.html
+++ b/main/generated/torchaudio.info.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.info — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.info — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
diff --git a/main/generated/torchaudio.io.AudioEffector.html b/main/generated/torchaudio.io.AudioEffector.html
index e2749ed0fa..25c0471da1 100644
--- a/main/generated/torchaudio.io.AudioEffector.html
+++ b/main/generated/torchaudio.io.AudioEffector.html
@@ -10,7 +10,7 @@
 
   
   
-  AudioEffector — Torchaudio 2.2.0.dev20240424 documentation
+  AudioEffector — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -568,7 +568,7 @@ 
apply
 

 

 

-AudioEffector.apply(waveform: Tensor, sample_rate: int, output_sample_rate: Optional[int] = None) → Tensor[source]Ā¶

+AudioEffector.apply(waveform: Tensor, sample_rate: int, output_sample_rate: Optional[int] = None) → Tensor[source]Ā¶
 
Apply the effect and/or codecs to the whole tensor.

 

 
Parameters:

@@ -599,7 +599,7 @@ 
stream
 

 

-AudioEffector.stream(waveform: Tensor, sample_rate: int, frames_per_chunk: int, output_sample_rate: Optional[int] = None) → Iterator[Tensor][source]Ā¶

+AudioEffector.stream(waveform: Tensor, sample_rate: int, frames_per_chunk: int, output_sample_rate: Optional[int] = None) → Iterator[Tensor][source]Ā¶
 
Apply the effect and/or codecs to the given tensor chunk by chunk.

 

 
Parameters:

diff --git a/main/generated/torchaudio.io.StreamReader.html b/main/generated/torchaudio.io.StreamReader.html
index 071101192c..703afc8abd 100644
--- a/main/generated/torchaudio.io.StreamReader.html
+++ b/main/generated/torchaudio.io.StreamReader.html
@@ -10,7 +10,7 @@
 
   
   
-  StreamReader — Torchaudio 2.2.0.dev20240424 documentation
+  StreamReader — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
diff --git a/main/generated/torchaudio.io.StreamWriter.html b/main/generated/torchaudio.io.StreamWriter.html
index 01577124eb..26850ddd54 100644
--- a/main/generated/torchaudio.io.StreamWriter.html
+++ b/main/generated/torchaudio.io.StreamWriter.html
@@ -10,7 +10,7 @@
 
   
   
-  StreamWriter — Torchaudio 2.2.0.dev20240424 documentation
+  StreamWriter — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
diff --git a/main/generated/torchaudio.io.play_audio.html b/main/generated/torchaudio.io.play_audio.html
index 6534eb2dab..27ab53f1f2 100644
--- a/main/generated/torchaudio.io.play_audio.html
+++ b/main/generated/torchaudio.io.play_audio.html
@@ -10,7 +10,7 @@
 
   
   
-  play_audio — Torchaudio 2.2.0.dev20240424 documentation
+  play_audio — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
play_audioĀ¶

 

 

-class torchaudio.io.play_audio(waveform: Tensor, sample_rate: Optional[float], device: Optional[str] = None)[source]Ā¶

+class torchaudio.io.play_audio(waveform: Tensor, sample_rate: Optional[float], device: Optional[str] = None)[source]Ā¶
 
Plays audio through specified or available output device.

 

 
Warning

diff --git a/main/generated/torchaudio.list_audio_backends.html b/main/generated/torchaudio.list_audio_backends.html
index 77587930d7..f7b9783cae 100644
--- a/main/generated/torchaudio.list_audio_backends.html
+++ b/main/generated/torchaudio.list_audio_backends.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.list_audio_backends — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.list_audio_backends — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
diff --git a/main/generated/torchaudio.load.html b/main/generated/torchaudio.load.html
index 28d9226f4c..2336b9cfe3 100644
--- a/main/generated/torchaudio.load.html
+++ b/main/generated/torchaudio.load.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.load — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.load — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.loadĀ¶

 

 

-torchaudio.load(uri: Union[BinaryIO, str, PathLike], frame_offset: int = 0, num_frames: int = -1, normalize: bool = True, channels_first: bool = True, format: Optional[str] = None, buffer_size: int = 4096, backend: Optional[str] = None) → Tuple[Tensor, int]Ā¶

+torchaudio.load(uri: Union[BinaryIO, str, PathLike], frame_offset: int = 0, num_frames: int = -1, normalize: bool = True, channels_first: bool = True, format: Optional[str] = None, buffer_size: int = 4096, backend: Optional[str] = None) → Tuple[Tensor, int]Ā¶
 
Load audio data from source.

 
By default (normalize=True, channels_first=True), this function returns Tensor with
 float32 dtype, and the shape of [channel, time].

@@ -510,7 +510,7 @@ 
torchaudio.loadReturn type:
-
(torch.Tensor, int)

+
(torch.Tensor, int)

 

 

 

diff --git a/main/generated/torchaudio.models.Conformer.html b/main/generated/torchaudio.models.Conformer.html
index 06fbea4059..e86e33191b 100644
--- a/main/generated/torchaudio.models.Conformer.html
+++ b/main/generated/torchaudio.models.Conformer.html
@@ -10,7 +10,7 @@
 
   
   
-  Conformer — Torchaudio 2.2.0.dev20240424 documentation
+  Conformer — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -483,12 +483,12 @@ 
forward
 

 

-Conformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor][source]Ā¶

+Conformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor][source]Ā¶
 

 
Parameters:

 
    
-
  • input (torch.Tensor) ā€“ with shape (B, T, input_dim).
    • 
-
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • input (torch.Tensor) ā€“ with shape (B, T, input_dim).
    • 
+
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid frames for i-th batch element in input.
    • 
 

 

diff --git a/main/generated/torchaudio.models.ConvTasNet.html b/main/generated/torchaudio.models.ConvTasNet.html
index f8121ce4ad..6cf4aeddff 100644
--- a/main/generated/torchaudio.models.ConvTasNet.html
+++ b/main/generated/torchaudio.models.ConvTasNet.html
@@ -10,7 +10,7 @@
 
   
   
-  ConvTasNet — Torchaudio 2.2.0.dev20240424 documentation
+  ConvTasNet — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -479,11 +479,11 @@ 
forward
 

 

-ConvTasNet.forward(input: Tensor) → Tensor[source]Ā¶

+ConvTasNet.forward(input: Tensor) → Tensor[source]Ā¶
 
Perform source separation. Generate audio source waveforms.

 

 
Parameters:

-
input (torch.Tensor) ā€“ 3D Tensor with shape [batch, channel==1, frames]

+
input (torch.Tensor) ā€“ 3D Tensor with shape [batch, channel==1, frames]

 

 
Returns:

 
3D Tensor with shape [batch, channel==num_sources, frames]

diff --git a/main/generated/torchaudio.models.DeepSpeech.html b/main/generated/torchaudio.models.DeepSpeech.html
index b94105374e..4831d27dd2 100644
--- a/main/generated/torchaudio.models.DeepSpeech.html
+++ b/main/generated/torchaudio.models.DeepSpeech.html
@@ -10,7 +10,7 @@
 
   
   
-  DeepSpeech — Torchaudio 2.2.0.dev20240424 documentation
+  DeepSpeech — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -462,10 +462,10 @@ 
forward
 

 

-DeepSpeech.forward(x: Tensor) → Tensor[source]Ā¶

+DeepSpeech.forward(x: Tensor) → Tensor[source]Ā¶
 

 
Parameters:

-
x (torch.Tensor) ā€“ Tensor of dimension (batch, channel, time, feature).

+
x (torch.Tensor) ā€“ Tensor of dimension (batch, channel, time, feature).

 

 
Returns:

 
Predictor tensor of dimension (batch, time, class).

diff --git a/main/generated/torchaudio.models.Emformer.html b/main/generated/torchaudio.models.Emformer.html
index 2802a7ef12..ad631ea096 100644
--- a/main/generated/torchaudio.models.Emformer.html
+++ b/main/generated/torchaudio.models.Emformer.html
@@ -10,7 +10,7 @@
 
   
   
-  Emformer — Torchaudio 2.2.0.dev20240424 documentation
+  Emformer — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -493,7 +493,7 @@ 
forward
 

 

-Emformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor]Ā¶

+Emformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor]Ā¶
 
Forward pass for training and non-streaming inference.

 
B: batch size;
 T: max number of input frames in batch;
@@ -501,9 +501,9 @@ 
forward
 
Parameters:

 
    
-
  • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
+
  • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
 shape (B, T + right_context_length, D).
    • 
-
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid utterance frames for i-th batch element in input.
    • 
 

 

@@ -530,18 +530,18 @@ 
infer
 

 

 

-Emformer.infer(input: Tensor, lengths: Tensor, states: Optional[List[List[Tensor]]] = None) → Tuple[Tensor, Tensor, List[List[Tensor]]]Ā¶

+Emformer.infer(input: Tensor, lengths: Tensor, states: Optional[List[List[Tensor]]] = None) → Tuple[Tensor, Tensor, List[List[Tensor]]]Ā¶
 
Forward pass for streaming inference.

 
B: batch size;
 D: feature dimension of each frame.

 

 
Parameters:

 
    
-
  • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
+
  • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
 shape (B, segment_length + right_context_length, D).
    • 
-
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid frames for i-th batch element in input.
    • 
-
  • states (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
+
  • states (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
 representing internal state generated in preceding invocation of infer. (Default: None)
    • 
 

 

diff --git a/main/generated/torchaudio.models.HDemucs.html b/main/generated/torchaudio.models.HDemucs.html
index f5f7a5c653..55ac58feb5 100644
--- a/main/generated/torchaudio.models.HDemucs.html
+++ b/main/generated/torchaudio.models.HDemucs.html
@@ -10,7 +10,7 @@
 
   
   
-  HDemucs — Torchaudio 2.2.0.dev20240424 documentation
+  HDemucs — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -497,11 +497,11 @@ 
forward
 

 

-HDemucs.forward(input: Tensor)[source]Ā¶

+HDemucs.forward(input: Tensor)[source]Ā¶
 
HDemucs forward call

 

 
Parameters:

-
input (torch.Tensor) ā€“ input mixed tensor of shape (batch_size, channel, num_frames)

+
input (torch.Tensor) ā€“ input mixed tensor of shape (batch_size, channel, num_frames)

 

 
Returns:

 

diff --git a/main/generated/torchaudio.models.HuBERTPretrainModel.html b/main/generated/torchaudio.models.HuBERTPretrainModel.html
index ec173cde99..cf4e50b6f3 100644
--- a/main/generated/torchaudio.models.HuBERTPretrainModel.html
+++ b/main/generated/torchaudio.models.HuBERTPretrainModel.html
@@ -10,7 +10,7 @@
 
   
   
-  HuBERTPretrainModel — Torchaudio 2.2.0.dev20240424 documentation
+  HuBERTPretrainModel — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -454,8 +454,8 @@ 
HuBERTPretrainModelParameters:
 

@@ -567,7 +567,7 @@ 
transcribe
 

 

-RNNT.transcribe(sources: Tensor, source_lengths: Tensor) → Tuple[Tensor, Tensor][source]Ā¶

+RNNT.transcribe(sources: Tensor, source_lengths: Tensor) → Tuple[Tensor, Tensor][source]Ā¶
 
Applies transcription network to sources in non-streaming mode.

 
B: batch size;
 T: maximum source sequence length in batch;
@@ -575,9 +575,9 @@ 
transcribe
 
Parameters:

 
    
-
  • sources (torch.Tensor) ā€“ source frame sequences right-padded with right context, with
+
  • sources (torch.Tensor) ā€“ source frame sequences right-padded with right context, with
 shape (B, T + right context length, D).
    • 
-
  • source_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • source_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid frames for i-th batch element in sources.
    • 
 

 

@@ -593,7 +593,7 @@ 
transcribeReturn type:
-
(torch.Tensor, torch.Tensor)

+
(torch.Tensor, torch.Tensor)

 

 

 

@@ -605,7 +605,7 @@ 
predict
 

 

-RNNT.predict(targets: Tensor, target_lengths: Tensor, state: Optional[List[List[Tensor]]]) → Tuple[Tensor, Tensor, List[List[Tensor]]][source]Ā¶

+RNNT.predict(targets: Tensor, target_lengths: Tensor, state: Optional[List[List[Tensor]]]) → Tuple[Tensor, Tensor, List[List[Tensor]]][source]Ā¶
 
Applies prediction network to targets.

 
B: batch size;
 U: maximum target sequence length in batch;
@@ -613,11 +613,11 @@ 
predict
 
Parameters:

 
    
-
  • targets (torch.Tensor) ā€“ target sequences, with shape (B, U) and each element
+
  • targets (torch.Tensor) ā€“ target sequences, with shape (B, U) and each element
 mapping to a target symbol, i.e. in range [0, num_symbols).
    • 
-
  • target_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • target_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid frames for i-th batch element in targets.
    • 
-
  • state (List[List[torch.Tensor]] or None) ā€“ list of lists of tensors
+
  • state (List[List[torch.Tensor]] or None) ā€“ list of lists of tensors
 representing internal state generated in preceding invocation
 of predict.
    • 
 

@@ -636,7 +636,7 @@ 
predictReturn type:
-
(torch.Tensor, torch.Tensor, List[List[torch.Tensor]])

+
(torch.Tensor, torch.Tensor, List[List[torch.Tensor]])

 

 

 

@@ -648,7 +648,7 @@ 
joinĀ¶<
 

 

 

-RNNT.join(source_encodings: Tensor, source_lengths: Tensor, target_encodings: Tensor, target_lengths: Tensor) → Tuple[Tensor, Tensor, Tensor][source]Ā¶

+RNNT.join(source_encodings: Tensor, source_lengths: Tensor, target_encodings: Tensor, target_lengths: Tensor) → Tuple[Tensor, Tensor, Tensor][source]Ā¶
 
Applies joint network to source and target encodings.

 
B: batch size;
 T: maximum source sequence length in batch;
@@ -657,12 +657,12 @@ 
joinĀ¶<
 

 
Parameters:

 
    
-
  • source_encodings (torch.Tensor) ā€“ source encoding sequences, with
+
  • source_encodings (torch.Tensor) ā€“ source encoding sequences, with
 shape (B, T, D).
    • 
-
  • source_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • source_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 valid sequence length of i-th batch element in source_encodings.
    • 
-
  • target_encodings (torch.Tensor) ā€“ target encoding sequences, with shape (B, U, D).
    • 
-
  • target_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • target_encodings (torch.Tensor) ā€“ target encoding sequences, with shape (B, U, D).
    • 
+
  • target_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 valid sequence length of i-th batch element in target_encodings.
    • 
 

 

@@ -680,7 +680,7 @@ 
joinĀ¶<
 

 

 
Return type:

-
(torch.Tensor, torch.Tensor, torch.Tensor)

+
(torch.Tensor, torch.Tensor, torch.Tensor)

 

 

 

diff --git a/main/generated/torchaudio.models.RNNTBeamSearch.html b/main/generated/torchaudio.models.RNNTBeamSearch.html
index 7dba787e80..8442873931 100644
--- a/main/generated/torchaudio.models.RNNTBeamSearch.html
+++ b/main/generated/torchaudio.models.RNNTBeamSearch.html
@@ -10,7 +10,7 @@
 
   
   
-  RNNTBeamSearch — Torchaudio 2.2.0.dev20240424 documentation
+  RNNTBeamSearch — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
RNNTBeamSearchĀ¶

 

 

-class torchaudio.models.RNNTBeamSearch(model: RNNT, blank: int, temperature: float = 1.0, hypo_sort_key: Optional[Callable[[Tuple[List[int], Tensor, List[List[Tensor]], float]], float]] = None, step_max_tokens: int = 100)[source]Ā¶

+class torchaudio.models.RNNTBeamSearch(model: RNNT, blank: int, temperature: float = 1.0, hypo_sort_key: Optional[Callable[[Tuple[List[int], Tensor, List[List[Tensor]], float]], float]] = None, step_max_tokens: int = 100)[source]Ā¶
 
Beam search decoder for RNN-T model.

 

 
See also

@@ -481,15 +481,15 @@ 
forward
 

 

-RNNTBeamSearch.forward(input: Tensor, length: Tensor, beam_width: int) → List[Tuple[List[int], Tensor, List[List[Tensor]], float]][source]Ā¶

+RNNTBeamSearch.forward(input: Tensor, length: Tensor, beam_width: int) → List[Tuple[List[int], Tensor, List[List[Tensor]], float]][source]Ā¶
 
Performs beam search for the given input sequence.

 
T: number of frames;
 D: feature dimension of each frame.

 

 
Parameters:

 
    
-
  • input (torch.Tensor) ā€“ sequence of input frames, with shape (T, D) or (1, T, D).
    • 
-
  • length (torch.Tensor) ā€“ number of valid frames in input
+
  • input (torch.Tensor) ā€“ sequence of input frames, with shape (T, D) or (1, T, D).
    • 
+
  • length (torch.Tensor) ā€“ number of valid frames in input
 sequence, with shape () or (1,).
    • 
 
  • beam_width (int) ā€“ beam size to use during search.
    • 
 

@@ -510,18 +510,18 @@ 
infer
 

 

 

-RNNTBeamSearch.infer(input: Tensor, length: Tensor, beam_width: int, state: Optional[List[List[Tensor]]] = None, hypothesis: Optional[List[Tuple[List[int], Tensor, List[List[Tensor]], float]]] = None) → Tuple[List[Tuple[List[int], Tensor, List[List[Tensor]], float]], List[List[Tensor]]][source]Ā¶

+RNNTBeamSearch.infer(input: Tensor, length: Tensor, beam_width: int, state: Optional[List[List[Tensor]]] = None, hypothesis: Optional[List[Tuple[List[int], Tensor, List[List[Tensor]], float]]] = None) → Tuple[List[Tuple[List[int], Tensor, List[List[Tensor]], float]], List[List[Tensor]]][source]Ā¶
 
Performs beam search for the given input sequence in streaming mode.

 
T: number of frames;
 D: feature dimension of each frame.

 

 
Parameters:

 
    
-
  • input (torch.Tensor) ā€“ sequence of input frames, with shape (T, D) or (1, T, D).
    • 
-
  • length (torch.Tensor) ā€“ number of valid frames in input
+
  • input (torch.Tensor) ā€“ sequence of input frames, with shape (T, D) or (1, T, D).
    • 
+
  • length (torch.Tensor) ā€“ number of valid frames in input
 sequence, with shape () or (1,).
    • 
 
  • beam_width (int) ā€“ beam size to use during search.
    • 
-
  • state (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
+
  • state (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
 representing transcription network internal state generated in preceding
 invocation. (Default: None)
    • 
 
  • hypothesis (List[Hypothesis] or None) ā€“ hypotheses from preceding invocation to seed
@@ -539,7 +539,7 @@ 
    infer
 
    
 

 
Return type:

-
(List[Hypothesis], List[List[torch.Tensor]])

+
(List[Hypothesis], List[List[torch.Tensor]])

 

 

 

@@ -557,7 +557,7 @@ 
Hypothesistorchaudio.models.HypothesisĀ¶
 
Hypothesis generated by RNN-T beam search decoder,
 represented as tuple of (tokens, prediction network output, prediction network state, score).

-
alias of Tuple[List[int], Tensor, List[List[Tensor]], float]

+
alias of Tuple[List[int], Tensor, List[List[Tensor]], float]

 

 
 

diff --git a/main/generated/torchaudio.models.SquimObjective.html b/main/generated/torchaudio.models.SquimObjective.html
index c39b33d62f..1077b7424e 100644
--- a/main/generated/torchaudio.models.SquimObjective.html
+++ b/main/generated/torchaudio.models.SquimObjective.html
@@ -10,7 +10,7 @@
 
   
   
-  SquimObjective — Torchaudio 2.2.0.dev20240424 documentation
+  SquimObjective — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,15 +440,15 @@
 
SquimObjectiveĀ¶

 

 

-class torchaudio.models.SquimObjective(encoder: Module, dprnn: Module, branches: ModuleList)[source]Ā¶

+class torchaudio.models.SquimObjective(encoder: Module, dprnn: Module, branches: ModuleList)[source]Ā¶
 
Speech Quality and Intelligibility Measures (SQUIM) model that predicts objective metric scores
 for speech enhancement (e.g., STOI, PESQ, and SI-SDR).

 

 
Parameters:

 
    
-
  • encoder (torch.nn.Module) ā€“ Encoder module to transform 1D waveform to 2D feature representation.
    • 
-
  • dprnn (torch.nn.Module) ā€“ DPRNN module to model sequential feature.
    • 
-
  • branches (torch.nn.ModuleList) ā€“ Transformer branches in which each branch estimate one objective metirc score.
    • 
+
  • encoder (torch.nn.Module) ā€“ Encoder module to transform 1D waveform to 2D feature representation.
    • 
+
  • dprnn (torch.nn.Module) ā€“ DPRNN module to model sequential feature.
    • 
+
  • branches (torch.nn.ModuleList) ā€“ Transformer branches in which each branch estimate one objective metirc score.
    • 
 

 

 

@@ -468,16 +468,16 @@ 
forward
 

 

-SquimObjective.forward(x: Tensor) → List[Tensor][source]Ā¶

+SquimObjective.forward(x: Tensor) → List[Tensor][source]Ā¶
 

 
Parameters:

-
x (torch.Tensor) ā€“ Input waveforms. Tensor with dimensions (batch, time).

+
x (torch.Tensor) ā€“ Input waveforms. Tensor with dimensions (batch, time).

 

 
Returns:

 
List of score Tenosrs. Each Tensor is with dimension (batch,).

 

 
Return type:

-
List(torch.Tensor)

+
List(torch.Tensor)

 

 

 

diff --git a/main/generated/torchaudio.models.SquimSubjective.html b/main/generated/torchaudio.models.SquimSubjective.html
index 1dff4f1f86..c024a333bb 100644
--- a/main/generated/torchaudio.models.SquimSubjective.html
+++ b/main/generated/torchaudio.models.SquimSubjective.html
@@ -10,7 +10,7 @@
 
   
   
-  SquimSubjective — Torchaudio 2.2.0.dev20240424 documentation
+  SquimSubjective — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,16 +440,16 @@
 
SquimSubjectiveĀ¶

 

 

-class torchaudio.models.SquimSubjective(ssl_model: Module, projector: Module, predictor: Module)[source]Ā¶

+class torchaudio.models.SquimSubjective(ssl_model: Module, projector: Module, predictor: Module)[source]Ā¶
 
Speech Quality and Intelligibility Measures (SQUIM) model that predicts subjective metric scores
 for speech enhancement (e.g., Mean Opinion Score (MOS)). The model is adopted from NORESQA-MOS
 [Manocha and Kumar, 2022] which predicts MOS scores given the input speech and a non-matching reference.

 

 
Parameters:

 
    
-
  • ssl_model (torch.nn.Module) ā€“ The self-supervised learning model for feature extraction.
    • 
-
  • projector (torch.nn.Module) ā€“ Projection layer that projects SSL feature to a lower dimension.
    • 
-
  • predictor (torch.nn.Module) ā€“ Predict the subjective scores.
    • 
+
  • ssl_model (torch.nn.Module) ā€“ The self-supervised learning model for feature extraction.
    • 
+
  • projector (torch.nn.Module) ā€“ Projection layer that projects SSL feature to a lower dimension.
    • 
+
  • predictor (torch.nn.Module) ā€“ Predict the subjective scores.
    • 
 

 

 

@@ -469,20 +469,20 @@ 
forward
 

 

-SquimSubjective.forward(waveform: Tensor, reference: Tensor)[source]Ā¶

+SquimSubjective.forward(waveform: Tensor, reference: Tensor)[source]Ā¶
 
Predict subjective evaluation metric score.

 

 
Parameters:

 
    
-
  • waveform (torch.Tensor) ā€“ Input waveform for evaluation. Tensor with dimensions (batch, time).
    • 
-
  • reference (torch.Tensor) ā€“ Non-matching clean reference. Tensor with dimensions (batch, time_ref).
    • 
+
  • waveform (torch.Tensor) ā€“ Input waveform for evaluation. Tensor with dimensions (batch, time).
    • 
+
  • reference (torch.Tensor) ā€“ Non-matching clean reference. Tensor with dimensions (batch, time_ref).
    • 
 

 

 
Returns:

 
Subjective metric score. Tensor with dimensions (batch,).

 

 
Return type:

-
(torch.Tensor)

+
(torch.Tensor)

 

 

 

diff --git a/main/generated/torchaudio.models.Tacotron2.html b/main/generated/torchaudio.models.Tacotron2.html
index fe7de58acf..99716f8d0a 100644
--- a/main/generated/torchaudio.models.Tacotron2.html
+++ b/main/generated/torchaudio.models.Tacotron2.html
@@ -10,7 +10,7 @@
 
   
   
-  Tacotron2 — Torchaudio 2.2.0.dev20240424 documentation
+  Tacotron2 — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -494,7 +494,7 @@ 
forward
 

 

-Tacotron2.forward(tokens: Tensor, token_lengths: Tensor, mel_specgram: Tensor, mel_specgram_lengths: Tensor) → Tuple[Tensor, Tensor, Tensor, Tensor][source]Ā¶

+Tacotron2.forward(tokens: Tensor, token_lengths: Tensor, mel_specgram: Tensor, mel_specgram_lengths: Tensor) → Tuple[Tensor, Tensor, Tensor, Tensor][source]Ā¶
 
Pass the input through the Tacotron2 model. This is in teacher
 forcing mode, which is generally used for training.

 
The input tokens should be padded with zeros to length max of token_lengths.
@@ -536,7 +536,7 @@ 
infer
 

 

 

-Tacotron2.infer(tokens: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Tensor, Tensor][source]Ā¶

+Tacotron2.infer(tokens: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Tensor, Tensor][source]Ā¶
 
Using Tacotron2 for inference. The input is a batch of encoded
 sentences (tokens) and its corresponding lengths (lengths). The
 output is the generated mel spectrograms, its corresponding lengths, and
diff --git a/main/generated/torchaudio.models.Wav2Letter.html b/main/generated/torchaudio.models.Wav2Letter.html
index 05ac4c7e69..6e9c02d950 100644
--- a/main/generated/torchaudio.models.Wav2Letter.html
+++ b/main/generated/torchaudio.models.Wav2Letter.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Letter — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Letter — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -469,10 +469,10 @@ 
forward
 

 

-Wav2Letter.forward(x: Tensor) → Tensor[source]Ā¶

+Wav2Letter.forward(x: Tensor) → Tensor[source]Ā¶
 

 
Parameters:

-
x (torch.Tensor) ā€“ Tensor of dimension (batch_size, num_features, input_length).

+
x (torch.Tensor) ā€“ Tensor of dimension (batch_size, num_features, input_length).

 

 
Returns:

 
Predictor tensor of dimension (batch_size, number_of_classes, input_length).

diff --git a/main/generated/torchaudio.models.Wav2Vec2Model.html b/main/generated/torchaudio.models.Wav2Vec2Model.html
index 3c6b1b6304..b94ec6532d 100644
--- a/main/generated/torchaudio.models.Wav2Vec2Model.html
+++ b/main/generated/torchaudio.models.Wav2Vec2Model.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2Model — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2Model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -440,7 +440,7 @@
 
Wav2Vec2ModelĀ¶

 

 

-class torchaudio.models.Wav2Vec2Model(feature_extractor: Module, encoder: Module, aux: Optional[Module] = None)[source]Ā¶

+class torchaudio.models.Wav2Vec2Model(feature_extractor: Module, encoder: Module, aux: Optional[Module] = None)[source]Ā¶
 
Acoustic model used in wav2vec 2.0 [Baevski et al., 2020].

 

 
Note

@@ -456,10 +456,10 @@ 
Wav2Vec2Model
 
Parameters:

 
    
-
  • feature_extractor (torch.nn.Module) ā€“ Feature extractor that extracts feature vectors from raw audio Tensor.
    • 
-
  • encoder (torch.nn.Module) ā€“ Encoder that converts the audio features into the sequence of probability
+
  • feature_extractor (torch.nn.Module) ā€“ Feature extractor that extracts feature vectors from raw audio Tensor.
    • 
+
  • encoder (torch.nn.Module) ā€“ Encoder that converts the audio features into the sequence of probability
 distribution (in negative log-likelihood) over labels.
    • 
-
  • aux (torch.nn.Module or None, optional) ā€“ Auxiliary module. If provided, the output from encoder is passed to this module.
    • 
+
  • aux (torch.nn.Module or None, optional) ā€“ Auxiliary module. If provided, the output from encoder is passed to this module.
    • 
 

 

 

@@ -485,7 +485,7 @@ 
forward
 

 

-Wav2Vec2Model.forward(waveforms: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶

+Wav2Vec2Model.forward(waveforms: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
 
Compute the sequence of probability distribution over labels.

 

 
Parameters:

@@ -526,7 +526,7 @@ 
extract_features
 

 

-Wav2Vec2Model.extract_features(waveforms: Tensor, lengths: Optional[Tensor] = None, num_layers: Optional[int] = None) → Tuple[List[Tensor], Optional[Tensor]][source]Ā¶

+Wav2Vec2Model.extract_features(waveforms: Tensor, lengths: Optional[Tensor] = None, num_layers: Optional[int] = None) → Tuple[List[Tensor], Optional[Tensor]][source]Ā¶
 
Extract feature vectors from raw waveforms

 
This returns the list of outputs from the intermediate layers of
 transformer block in encoder.

diff --git a/main/generated/torchaudio.models.WaveRNN.html b/main/generated/torchaudio.models.WaveRNN.html
index af9ee0b2a9..780b84e6b2 100644
--- a/main/generated/torchaudio.models.WaveRNN.html
+++ b/main/generated/torchaudio.models.WaveRNN.html
@@ -10,7 +10,7 @@
 
   
   
-  WaveRNN — Torchaudio 2.2.0.dev20240424 documentation
+  WaveRNN — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -494,7 +494,7 @@ 
forward
 

 

-WaveRNN.forward(waveform: Tensor, specgram: Tensor) → Tensor[source]Ā¶

+WaveRNN.forward(waveform: Tensor, specgram: Tensor) → Tensor[source]Ā¶
 
Pass the input through the WaveRNN model.

 

 
Parameters:

@@ -519,7 +519,7 @@ 
infer
 

 

 

-WaveRNN.infer(specgram: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶

+WaveRNN.infer(specgram: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
 
Inference method of WaveRNN.

 
This function currently only supports multinomial sampling, which assumes the
 network is trained on cross entropy loss.

diff --git a/main/generated/torchaudio.models.conv_tasnet_base.html b/main/generated/torchaudio.models.conv_tasnet_base.html
index 7ab63791d1..007c6cbd67 100644
--- a/main/generated/torchaudio.models.conv_tasnet_base.html
+++ b/main/generated/torchaudio.models.conv_tasnet_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.conv_tasnet_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.conv_tasnet_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
diff --git a/main/generated/torchaudio.models.decoder.CTCDecoder.html b/main/generated/torchaudio.models.decoder.CTCDecoder.html
index 3b9f1486d1..0578ffee43 100644
--- a/main/generated/torchaudio.models.decoder.CTCDecoder.html
+++ b/main/generated/torchaudio.models.decoder.CTCDecoder.html
@@ -10,7 +10,7 @@
 
   
   
-  CTCDecoder — Torchaudio 2.2.0.dev20240424 documentation
+  CTCDecoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -463,7 +463,7 @@ 
__call__
 

 

-CTCDecoder.__call__(emissions: FloatTensor, lengths: Optional[Tensor] = None) → List[List[CTCHypothesis]][source]Ā¶

+CTCDecoder.__call__(emissions: FloatTensor, lengths: Optional[Tensor] = None) → List[List[CTCHypothesis]][source]Ā¶
 
Performs batched offline decoding.

 

 
Note

diff --git a/main/generated/torchaudio.models.decoder.CUCTCDecoder.html b/main/generated/torchaudio.models.decoder.CUCTCDecoder.html
index 3b4ab91de7..75b74a3007 100644
--- a/main/generated/torchaudio.models.decoder.CUCTCDecoder.html
+++ b/main/generated/torchaudio.models.decoder.CUCTCDecoder.html
@@ -10,7 +10,7 @@
 
   
   
-  CUCTCDecoder — Torchaudio 2.2.0.dev20240424 documentation
+  CUCTCDecoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -463,7 +463,7 @@ 
__call__
 

 

-CUCTCDecoder.__call__(log_prob: Tensor, encoder_out_lens: Tensor)[source]Ā¶

+CUCTCDecoder.__call__(log_prob: Tensor, encoder_out_lens: Tensor)[source]Ā¶
 

 
Parameters:

 
    
diff --git a/main/generated/torchaudio.models.decoder.ctc_decoder.html b/main/generated/torchaudio.models.decoder.ctc_decoder.html
index aa528d2608..af3d5afbf6 100644
--- a/main/generated/torchaudio.models.decoder.ctc_decoder.html
+++ b/main/generated/torchaudio.models.decoder.ctc_decoder.html
@@ -10,7 +10,7 @@
 
   
   
-  ctc_decoder — Torchaudio 2.2.0.dev20240424 documentation
+  ctc_decoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html b/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html
index 15b2d4a781..a99e8d62e2 100644
--- a/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html
+++ b/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html
@@ -10,7 +10,7 @@
 
   
   
-  cuda_ctc_decoder — Torchaudio 2.2.0.dev20240424 documentation
+  cuda_ctc_decoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.decoder.download_pretrained_files.html b/main/generated/torchaudio.models.decoder.download_pretrained_files.html
index eef37cccc8..c394e8ba81 100644
--- a/main/generated/torchaudio.models.decoder.download_pretrained_files.html
+++ b/main/generated/torchaudio.models.decoder.download_pretrained_files.html
@@ -10,7 +10,7 @@
 
   
   
-  download_pretrained_files — Torchaudio 2.2.0.dev20240424 documentation
+  download_pretrained_files — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.emformer_rnnt_base.html b/main/generated/torchaudio.models.emformer_rnnt_base.html
index 282c9543fc..aed56b46da 100644
--- a/main/generated/torchaudio.models.emformer_rnnt_base.html
+++ b/main/generated/torchaudio.models.emformer_rnnt_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.emformer_rnnt_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.emformer_rnnt_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.emformer_rnnt_model.html b/main/generated/torchaudio.models.emformer_rnnt_model.html
index b7ade1352a..dcdfc47261 100644
--- a/main/generated/torchaudio.models.emformer_rnnt_model.html
+++ b/main/generated/torchaudio.models.emformer_rnnt_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.emformer_rnnt_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.emformer_rnnt_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hdemucs_high.html b/main/generated/torchaudio.models.hdemucs_high.html
index ed0de93957..5809e50611 100644
--- a/main/generated/torchaudio.models.hdemucs_high.html
+++ b/main/generated/torchaudio.models.hdemucs_high.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hdemucs_high — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hdemucs_high — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hdemucs_low.html b/main/generated/torchaudio.models.hdemucs_low.html
index 5e1125c365..3f355b30eb 100644
--- a/main/generated/torchaudio.models.hdemucs_low.html
+++ b/main/generated/torchaudio.models.hdemucs_low.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hdemucs_low — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hdemucs_low — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hdemucs_medium.html b/main/generated/torchaudio.models.hdemucs_medium.html
index 9a67e6ed35..f084dd8219 100644
--- a/main/generated/torchaudio.models.hdemucs_medium.html
+++ b/main/generated/torchaudio.models.hdemucs_medium.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hdemucs_medium — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hdemucs_medium — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_base.html b/main/generated/torchaudio.models.hubert_base.html
index 47fff74a41..88712d7564 100644
--- a/main/generated/torchaudio.models.hubert_base.html
+++ b/main/generated/torchaudio.models.hubert_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_large.html b/main/generated/torchaudio.models.hubert_large.html
index 04e3fb300a..b412e87c62 100644
--- a/main/generated/torchaudio.models.hubert_large.html
+++ b/main/generated/torchaudio.models.hubert_large.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_large — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_large — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_pretrain_base.html b/main/generated/torchaudio.models.hubert_pretrain_base.html
index 701f2216fd..ddbceb65a1 100644
--- a/main/generated/torchaudio.models.hubert_pretrain_base.html
+++ b/main/generated/torchaudio.models.hubert_pretrain_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_pretrain_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_pretrain_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_pretrain_large.html b/main/generated/torchaudio.models.hubert_pretrain_large.html
index b427d4a86a..733105d964 100644
--- a/main/generated/torchaudio.models.hubert_pretrain_large.html
+++ b/main/generated/torchaudio.models.hubert_pretrain_large.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_pretrain_large — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_pretrain_large — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_pretrain_model.html b/main/generated/torchaudio.models.hubert_pretrain_model.html
index ee50bc56b8..67a7434322 100644
--- a/main/generated/torchaudio.models.hubert_pretrain_model.html
+++ b/main/generated/torchaudio.models.hubert_pretrain_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_pretrain_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_pretrain_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_pretrain_xlarge.html b/main/generated/torchaudio.models.hubert_pretrain_xlarge.html
index 244650956d..421e56ceb9 100644
--- a/main/generated/torchaudio.models.hubert_pretrain_xlarge.html
+++ b/main/generated/torchaudio.models.hubert_pretrain_xlarge.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_pretrain_xlarge — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_pretrain_xlarge — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_xlarge.html b/main/generated/torchaudio.models.hubert_xlarge.html
index 7a30068a6c..2c62dfb6ea 100644
--- a/main/generated/torchaudio.models.hubert_xlarge.html
+++ b/main/generated/torchaudio.models.hubert_xlarge.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_xlarge — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_xlarge — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.squim_objective_base.html b/main/generated/torchaudio.models.squim_objective_base.html
index f822f52498..ab48fb7695 100644
--- a/main/generated/torchaudio.models.squim_objective_base.html
+++ b/main/generated/torchaudio.models.squim_objective_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.squim_objective_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.squim_objective_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.squim_objective_model.html b/main/generated/torchaudio.models.squim_objective_model.html
index 741b335167..6b1db64984 100644
--- a/main/generated/torchaudio.models.squim_objective_model.html
+++ b/main/generated/torchaudio.models.squim_objective_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.squim_objective_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.squim_objective_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.squim_subjective_base.html b/main/generated/torchaudio.models.squim_subjective_base.html
index 6a0d657c91..fbd2518892 100644
--- a/main/generated/torchaudio.models.squim_subjective_base.html
+++ b/main/generated/torchaudio.models.squim_subjective_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.squim_subjective_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.squim_subjective_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.squim_subjective_model.html b/main/generated/torchaudio.models.squim_subjective_model.html
index 8ab65fd9e8..92a032ea00 100644
--- a/main/generated/torchaudio.models.squim_subjective_model.html
+++ b/main/generated/torchaudio.models.squim_subjective_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.squim_subjective_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.squim_subjective_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html b/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html
index 3e8aeae9e9..7376b96cc8 100644
--- a/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html
+++ b/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2.utils.import_fairseq_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2.utils.import_fairseq_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -442,12 +442,12 @@
 
    torchaudio.models.wav2vec2.utils.import_fairseq_modelĀ¶
    
 
    
 
    
-torchaudio.models.wav2vec2.utils.import_fairseq_model(original: Module) → Wav2Vec2Model[source]Ā¶
    
+torchaudio.models.wav2vec2.utils.import_fairseq_model(original: Module) → Wav2Vec2Model[source]Ā¶
 
    Builds Wav2Vec2Model from the corresponding model object of
 fairseq.
    
 
    
 
    Parameters:
    
-
    original (torch.nn.Module) ā€“ An instance of fairseqā€™s Wav2Vec2.0 or HuBERT model.
+
    original (torch.nn.Module) ā€“ An instance of fairseqā€™s Wav2Vec2.0 or HuBERT model.
 One of fairseq.models.wav2vec.wav2vec2_asr.Wav2VecEncoder,
 fairseq.models.wav2vec.wav2vec2.Wav2Vec2Model or
 fairseq.models.hubert.hubert_asr.HubertEncoder.
    
diff --git a/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html b/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html
index 81f2ec0eea..931994f261 100644
--- a/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html
+++ b/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2.utils.import_huggingface_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2.utils.import_huggingface_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -442,12 +442,12 @@
 
    torchaudio.models.wav2vec2.utils.import_huggingface_modelĀ¶
    
 
    
 
    
-torchaudio.models.wav2vec2.utils.import_huggingface_model(original: Module) → Wav2Vec2Model[source]Ā¶
    
+torchaudio.models.wav2vec2.utils.import_huggingface_model(original: Module) → Wav2Vec2Model[source]Ā¶
 
    Builds Wav2Vec2Model from the corresponding model object of
 Transformers.
    
 
    
 
    Parameters:
    
-
    original (torch.nn.Module) ā€“ An instance of Wav2Vec2ForCTC from transformers.
    
+
    original (torch.nn.Module) ā€“ An instance of Wav2Vec2ForCTC from transformers.
    
 
    
 
    Returns:
    
 
    Imported model.
    
diff --git a/main/generated/torchaudio.models.wav2vec2_base.html b/main/generated/torchaudio.models.wav2vec2_base.html
index 68d07f8f60..4659c4c3b9 100644
--- a/main/generated/torchaudio.models.wav2vec2_base.html
+++ b/main/generated/torchaudio.models.wav2vec2_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_large.html b/main/generated/torchaudio.models.wav2vec2_large.html
index e973e1697f..fa625dc2a2 100644
--- a/main/generated/torchaudio.models.wav2vec2_large.html
+++ b/main/generated/torchaudio.models.wav2vec2_large.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_large — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_large — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_large_lv60k.html b/main/generated/torchaudio.models.wav2vec2_large_lv60k.html
index d680880528..19d1625235 100644
--- a/main/generated/torchaudio.models.wav2vec2_large_lv60k.html
+++ b/main/generated/torchaudio.models.wav2vec2_large_lv60k.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_large_lv60k — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_large_lv60k — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_model.html b/main/generated/torchaudio.models.wav2vec2_model.html
index 3aceadd473..7f44d4d1d1 100644
--- a/main/generated/torchaudio.models.wav2vec2_model.html
+++ b/main/generated/torchaudio.models.wav2vec2_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html b/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html
index db45fdda16..aee2e0b270 100644
--- a/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html
+++ b/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_xlsr_1b — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_xlsr_1b — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html b/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
index 6b25558ea0..bb34e39840 100644
--- a/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
+++ b/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_xlsr_2b — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_xlsr_2b — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html b/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
index 52041deeb8..cf651c7a03 100644
--- a/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
+++ b/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_xlsr_300m — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_xlsr_300m — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wavlm_base.html b/main/generated/torchaudio.models.wavlm_base.html
index c3f5d6e8ca..1cd159c809 100644
--- a/main/generated/torchaudio.models.wavlm_base.html
+++ b/main/generated/torchaudio.models.wavlm_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wavlm_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wavlm_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wavlm_large.html b/main/generated/torchaudio.models.wavlm_large.html
index dc03e6f9b8..948fe7ee50 100644
--- a/main/generated/torchaudio.models.wavlm_large.html
+++ b/main/generated/torchaudio.models.wavlm_large.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wavlm_large — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wavlm_large — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wavlm_model.html b/main/generated/torchaudio.models.wavlm_model.html
index 71bdcd5c85..fb3ad5dbfe 100644
--- a/main/generated/torchaudio.models.wavlm_model.html
+++ b/main/generated/torchaudio.models.wavlm_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wavlm_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wavlm_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html b/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
index b000f348b0..b2da429337 100644
--- a/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
+++ b/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
@@ -10,7 +10,7 @@
 
   
   
-  CONVTASNET_BASE_LIBRI2MIX — Torchaudio 2.2.0.dev20240424 documentation
+  CONVTASNET_BASE_LIBRI2MIX — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html b/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
index 7a13bf70c8..dd577c4d63 100644
--- a/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
+++ b/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  EMFORMER_RNNT_BASE_LIBRISPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  EMFORMER_RNNT_BASE_LIBRISPEECH — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
index 47a1e79ca6..772dbd0733 100644
--- a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
+++ b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
@@ -10,7 +10,7 @@
 
   
   
-  HDEMUCS_HIGH_MUSDB — Torchaudio 2.2.0.dev20240424 documentation
+  HDEMUCS_HIGH_MUSDB — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
index 86b9a8249a..d48cb3fefc 100644
--- a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
+++ b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
@@ -10,7 +10,7 @@
 
   
   
-  HDEMUCS_HIGH_MUSDB_PLUS — Torchaudio 2.2.0.dev20240424 documentation
+  HDEMUCS_HIGH_MUSDB_PLUS — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html b/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
index e0c9339bc6..e882168922 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  HUBERT_ASR_LARGE — Torchaudio 2.2.0.dev20240424 documentation
+  HUBERT_ASR_LARGE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html b/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
index 147e97b15f..cd24cdb8bc 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  HUBERT_ASR_XLARGE — Torchaudio 2.2.0.dev20240424 documentation
+  HUBERT_ASR_XLARGE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_BASE.html b/main/generated/torchaudio.pipelines.HUBERT_BASE.html
index 4c1eaf8042..7bdaa65c70 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_BASE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_BASE.html
@@ -10,7 +10,7 @@
 
   
   
-  HUBERT_BASE — Torchaudio 2.2.0.dev20240424 documentation
+  HUBERT_BASE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_LARGE.html b/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
index 1f1d515bad..2ed276c96b 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  HUBERT_LARGE — Torchaudio 2.2.0.dev20240424 documentation
+  HUBERT_LARGE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html b/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
index f1c87dfd9b..1775940983 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  HUBERT_XLARGE — Torchaudio 2.2.0.dev20240424 documentation
+  HUBERT_XLARGE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.MMS_FA.html b/main/generated/torchaudio.pipelines.MMS_FA.html
index fddac8b599..e213e25fde 100644
--- a/main/generated/torchaudio.pipelines.MMS_FA.html
+++ b/main/generated/torchaudio.pipelines.MMS_FA.html
@@ -10,7 +10,7 @@
 
   
   
-  MMS_FA — Torchaudio 2.2.0.dev20240424 documentation
+  MMS_FA — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html b/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
index ab5e0e5dae..b895944faa 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
@@ -10,7 +10,7 @@
 
   
   
-  RNNTBundle.FeatureExtractor — Torchaudio 2.2.0.dev20240424 documentation
+  RNNTBundle.FeatureExtractor — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -451,11 +451,11 @@ 
    __call__
 
    
 
    
-abstract FeatureExtractor.__call__(input: Tensor) → Tuple[Tensor, Tensor]Ā¶
    
+abstract FeatureExtractor.__call__(input: Tensor) → Tuple[Tensor, Tensor]Ā¶
 
    Generates features and length output from the given input tensor.
    
 
    
 
    Parameters:
    
-
    input (torch.Tensor) ā€“ input tensor.
    
+
    input (torch.Tensor) ā€“ input tensor.
    
 
    
 
    Returns:
    
 
    
@@ -467,7 +467,7 @@ 
    __call__
 
    
 
    Return type:
    
-
    (torch.Tensor, torch.Tensor)
    
+
    (torch.Tensor, torch.Tensor)
    
 
    
 
    
 
    
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html b/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
index 8f263f8b64..93f256eafb 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
@@ -10,7 +10,7 @@
 
   
   
-  RNNTBundle.TokenProcessor — Torchaudio 2.2.0.dev20240424 documentation
+  RNNTBundle.TokenProcessor — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.html b/main/generated/torchaudio.pipelines.RNNTBundle.html
index b274475d07..b692fefda5 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  RNNTBundle — Torchaudio 2.2.0.dev20240424 documentation
+  RNNTBundle — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html b/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
index 6ce26c665a..6500e6f9c9 100644
--- a/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
+++ b/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
@@ -10,7 +10,7 @@
 
   
   
-  SQUIM_OBJECTIVE — Torchaudio 2.2.0.dev20240424 documentation
+  SQUIM_OBJECTIVE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html b/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
index df14aaad9a..5e4cf1b6ca 100644
--- a/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
+++ b/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
@@ -10,7 +10,7 @@
 
   
   
-  SQUIM_SUBJECTIVE — Torchaudio 2.2.0.dev20240424 documentation
+  SQUIM_SUBJECTIVE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.SourceSeparationBundle.html b/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
index 2eb8416a89..894f08fa5f 100644
--- a/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
+++ b/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  SourceSeparationBundle — Torchaudio 2.2.0.dev20240424 documentation
+  SourceSeparationBundle — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -501,7 +501,7 @@ 
    get_model
 
    
 
    
-SourceSeparationBundle.get_model() → Module[source]Ā¶
    
+SourceSeparationBundle.get_model() → Module[source]Ā¶
 
    Construct the model and load the pretrained weight.
    
 
    
 
diff --git a/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html b/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
index 9838db108d..99e23d8ee9 100644
--- a/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
+++ b/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  SquimObjectiveBundle — Torchaudio 2.2.0.dev20240424 documentation
+  SquimObjectiveBundle — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -502,10 +502,10 @@ 
    get_modelSquimObjectiveBundle.get_model(*, dl_kwargs=None) → SquimObjective[source]Ā¶
 
    Construct the SquimObjective model, and load the pretrained weight.
    
 
    The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
    
+torch.hub.load_state_dict_from_url()
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    Variation of SquimObjective.
    
diff --git a/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html b/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
index 9cdf46e920..54d04d87fa 100644
--- a/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
+++ b/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  SquimSubjectiveBundle — Torchaudio 2.2.0.dev20240424 documentation
+  SquimSubjectiveBundle — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -504,10 +504,10 @@ 
    get_modelSquimSubjectiveBundle.get_model(*, dl_kwargs=None) → SquimSubjective[source]Ā¶
 
    Construct the SquimSubjective model, and load the pretrained weight.
    
 
    The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
    
+torch.hub.load_state_dict_from_url()
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    Variation of SquimObjective.
    
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
index d86db6322f..dbab2a085b 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
index 165a15eda1..b61fbceb4a 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
index a5b8e7e485..6cc7ac36ff 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  TACOTRON2_WAVERNN_CHAR_LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  TACOTRON2_WAVERNN_CHAR_LJSPEECH — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
index 9e038e4beb..b6dbe2b31c 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  TACOTRON2_WAVERNN_PHONE_LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  TACOTRON2_WAVERNN_PHONE_LJSPEECH — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
index 8bce776784..24f7823cc8 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
@@ -10,7 +10,7 @@
 
   
   
-  Tacotron2TTSBundle.TextProcessor — Torchaudio 2.2.0.dev20240424 documentation
+  Tacotron2TTSBundle.TextProcessor — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -471,7 +471,7 @@ 
    __call__
 
    
 
    
-abstract TextProcessor.__call__(texts: Union[str, List[str]]) → Tuple[Tensor, Tensor]Ā¶
    
+abstract TextProcessor.__call__(texts: Union[str, List[str]]) → Tuple[Tensor, Tensor]Ā¶
 
    Encode the given (batch of) texts into numerical tensors
    
 
    
 
    Parameters:
    
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
index ad66f74e07..8bd23e85ca 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
@@ -10,7 +10,7 @@
 
   
   
-  Tacotron2TTSBundle.Vocoder — Torchaudio 2.2.0.dev20240424 documentation
+  Tacotron2TTSBundle.Vocoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -471,7 +471,7 @@ 
    __call__
 
    
 
    
-abstract Vocoder.__call__(specgrams: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]]Ā¶
    
+abstract Vocoder.__call__(specgrams: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]]Ā¶
 
    Generate waveform from the given input, such as spectrogram
    
 
    
 
    Parameters:
    
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
index 48b53a3f0e..0d258c03df 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  Tacotron2TTSBundle — Torchaudio 2.2.0.dev20240424 documentation
+  Tacotron2TTSBundle — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -532,7 +532,7 @@ 
    get_tacotron2
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    The resulting model.
    
@@ -556,10 +556,10 @@ 
    get_text_processortorch.hub.download_url_to_file() is used to downloaded it.
    
+torch.hub.download_url_to_file() is used to downloaded it.
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments,) ā€“ Passed to torch.hub.download_url_to_file().
    
+
    dl_kwargs (dictionary of keyword arguments,) ā€“ Passed to torch.hub.download_url_to_file().
    
 
    
 
    Returns:
    
 
    A callable which takes a string or a list of strings as input and
@@ -633,10 +633,10 @@ 
    get_vocoderabstract Tacotron2TTSBundle.get_vocoder(*, dl_kwargs=None) → Vocoder[source]Ā¶
 
    Create a vocoder module, based off of either WaveRNN or GriffinLim.
    
 
    If a pre-trained weight file is necessary,
-torch.hub.load_state_dict_from_url() is used to downloaded it.
    
+torch.hub.load_state_dict_from_url() is used to downloaded it.
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    A vocoder module, which takes spectrogram Tensor and an optional
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
index 22c097078f..707a480cd1 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
@@ -10,7 +10,7 @@
 
   
   
-  VOXPOPULI_ASR_BASE_10K_DE — Torchaudio 2.2.0.dev20240424 documentation
+  VOXPOPULI_ASR_BASE_10K_DE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
index 39e226b081..1e9a6219b7 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
@@ -10,7 +10,7 @@
 
   
   
-  VOXPOPULI_ASR_BASE_10K_EN — Torchaudio 2.2.0.dev20240424 documentation
+  VOXPOPULI_ASR_BASE_10K_EN — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
index ff6055ed0a..131b4f5c63 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
@@ -10,7 +10,7 @@
 
   
   
-  VOXPOPULI_ASR_BASE_10K_ES — Torchaudio 2.2.0.dev20240424 documentation
+  VOXPOPULI_ASR_BASE_10K_ES — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
index a24b0caaa6..be172b9594 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
@@ -10,7 +10,7 @@
 
   
   
-  VOXPOPULI_ASR_BASE_10K_FR — Torchaudio 2.2.0.dev20240424 documentation
+  VOXPOPULI_ASR_BASE_10K_FR — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
index 6f2fedd518..f6bdc9c697 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
@@ -10,7 +10,7 @@
 
   
   
-  VOXPOPULI_ASR_BASE_10K_IT — Torchaudio 2.2.0.dev20240424 documentation
+  VOXPOPULI_ASR_BASE_10K_IT — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html
index 030eb84280..0272c7a11c 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_BASE_100H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_BASE_100H — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html
index 0d3d01d9a2..9ea2661e43 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_BASE_10M — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_BASE_10M — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html
index dc4b35e9f2..bff1e72bd1 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_BASE_960H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_BASE_960H — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html
index f64d1f27d8..041eac09c1 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_100H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_100H — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html
index 5fb125a653..547a965b91 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_10M — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_10M — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html
index 550587f582..753d6a429e 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_960H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_960H — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html
index 3ba8f07b6e..136d55e263 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_LV60K_100H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_LV60K_100H — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html
index 0fca6fe269..b81207f8a4 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_LV60K_10M — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_LV60K_10M — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html
index 05d0b02c5b..1d4c54309a 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_LV60K_960H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_LV60K_960H — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html b/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html
index e9562ad5fd..dcac4b8dec 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_BASE — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_BASE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html
index ee7d802a30..4816893422 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_LARGE — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_LARGE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html
index 75fa6a3ef1..e934af8f92 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_LARGE_LV60K — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_LARGE_LV60K — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html
index 46acf2522b..e5158f544f 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_XLSR53 — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_XLSR53 — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html
index 3bf7482e98..87a983dd3a 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_XLSR_1B — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_XLSR_1B — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html
index 955ab149f8..961ee4f2db 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_XLSR_2B — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_XLSR_2B — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html
index f84e1168a1..14589768d3 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_XLSR_300M — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_XLSR_300M — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAVLM_BASE.html b/main/generated/torchaudio.pipelines.WAVLM_BASE.html
index a05c8e648f..9f73f46bb3 100644
--- a/main/generated/torchaudio.pipelines.WAVLM_BASE.html
+++ b/main/generated/torchaudio.pipelines.WAVLM_BASE.html
@@ -10,7 +10,7 @@
 
   
   
-  WAVLM_BASE — Torchaudio 2.2.0.dev20240424 documentation
+  WAVLM_BASE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html b/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html
index 4e3a07372e..afa573629c 100644
--- a/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html
+++ b/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html
@@ -10,7 +10,7 @@
 
   
   
-  WAVLM_BASE_PLUS — Torchaudio 2.2.0.dev20240424 documentation
+  WAVLM_BASE_PLUS — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAVLM_LARGE.html b/main/generated/torchaudio.pipelines.WAVLM_LARGE.html
index 4e284e6dd9..1b47f08bc2 100644
--- a/main/generated/torchaudio.pipelines.WAVLM_LARGE.html
+++ b/main/generated/torchaudio.pipelines.WAVLM_LARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  WAVLM_LARGE — Torchaudio 2.2.0.dev20240424 documentation
+  WAVLM_LARGE — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html
index dfaa38ea04..ecc5c6f578 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2ASRBundle — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2ASRBundle — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -548,13 +548,13 @@ 
    get_model
 
    
 
    
-Wav2Vec2ASRBundle.get_model(*, dl_kwargs=None) → ModuleĀ¶
    
+Wav2Vec2ASRBundle.get_model(*, dl_kwargs=None) → ModuleĀ¶
 
    Construct the model and load the pretrained weight.
    
 
    The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
    
+torch.hub.load_state_dict_from_url()
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    Variation of Wav2Vec2Model.
    
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
index 06c2dbcc8a..690fb966b2 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2Bundle — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2Bundle — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -496,13 +496,13 @@ 
    get_model
 
    
 
    
-Wav2Vec2Bundle.get_model(*, dl_kwargs=None) → Module[source]Ā¶
    
+Wav2Vec2Bundle.get_model(*, dl_kwargs=None) → Module[source]Ā¶
 
    Construct the model and load the pretrained weight.
    
 
    The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
    
+torch.hub.load_state_dict_from_url()
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    Variation of Wav2Vec2Model.
    
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
index 1caaebd811..efac1d7037 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2FABundle.Aligner — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2FABundle.Aligner — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -451,7 +451,7 @@ 
    __call__
 
    
 
    
-abstract Aligner.__call__(emission: Tensor, tokens: List[List[int]]) → List[List[TokenSpan]]Ā¶
    
+abstract Aligner.__call__(emission: Tensor, tokens: List[List[int]]) → List[List[TokenSpan]]Ā¶
 
    Generate list of time-stamped token sequences
    
 
    
 
    Parameters:
    
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
index 2a7dc8bcc3..2915938e84 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2FABundle.Tokenizer — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2FABundle.Tokenizer — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
index cdb6642f68..4c98b2f310 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2FABundle — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2FABundle — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -600,16 +600,16 @@ 
    get_model
 
    
 
    
-Wav2Vec2FABundle.get_model(with_star: bool = True, *, dl_kwargs=None) → Module[source]Ā¶
    
+Wav2Vec2FABundle.get_model(with_star: bool = True, *, dl_kwargs=None) → Module[source]Ā¶
 
    Construct the model and load the pretrained weight.
    
 
    The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
    
+torch.hub.load_state_dict_from_url()
    
 
    
 
    Parameters:
    
 
    
 
    
 
    Returns:
    
@@ -617,7 +617,7 @@ 
    get_model
 
    Note
    
 
    The model created with this method returns probability in log-domain,
-(i.e. torch.nn.functional.log_softmax() is applied), whereas
+(i.e. torch.nn.functional.log_softmax() is applied), whereas
 the other Wav2Vec2 models returns logit.
    
 
    
 
    
diff --git a/main/generated/torchaudio.prototype.datasets.Musan.html b/main/generated/torchaudio.prototype.datasets.Musan.html
index 22435e6ade..7726b54b84 100644
--- a/main/generated/torchaudio.prototype.datasets.Musan.html
+++ b/main/generated/torchaudio.prototype.datasets.Musan.html
@@ -10,7 +10,7 @@
 
   
   
-  Musan — Torchaudio 2.2.0.dev20240424 documentation
+  Musan — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -459,7 +459,7 @@ 
    __getitem__
 
    
 
    
-Musan.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶
    
+Musan.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶
 
    Return the n-th sample in the dataset.
    
 
    
 
    Parameters:
    
@@ -477,7 +477,7 @@ 
    __getitem__Return type:
-
    (torch.Tensor, int, str)
    
+
    (torch.Tensor, int, str)
    
 
    
 
    
 
    
diff --git a/main/generated/torchaudio.prototype.functional.adsr_envelope.html b/main/generated/torchaudio.prototype.functional.adsr_envelope.html
index bf42a9aeb2..3822af7407 100644
--- a/main/generated/torchaudio.prototype.functional.adsr_envelope.html
+++ b/main/generated/torchaudio.prototype.functional.adsr_envelope.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.adsr_envelope — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.adsr_envelope — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -442,7 +442,7 @@
 
    torchaudio.prototype.functional.adsr_envelopeĀ¶
    
 
    
 
    
-torchaudio.prototype.functional.adsr_envelope(num_frames: int, *, attack: float = 0.0, hold: float = 0.0, decay: float = 0.0, sustain: float = 1.0, release: float = 0.0, n_decay: int = 2, dtype: Optional[dtype] = None, device: Optional[device] = None)[source]Ā¶
    
+torchaudio.prototype.functional.adsr_envelope(num_frames: int, *, attack: float = 0.0, hold: float = 0.0, decay: float = 0.0, sustain: float = 1.0, release: float = 0.0, n_decay: int = 2, dtype: Optional[dtype] = None, device: Optional[device] = None)[source]Ā¶
 
    Generate ADSR Envelope
    
 This feature supports the following devices: CPU, CUDA
 
    
@@ -467,10 +467,10 @@ 
    torchaudio.prototype.functional.adsr_envelopeint, optional) ā€“ The degree of polynomial decay. Default: 2.
    
 
  • dtype (torch.dpython:type, optional) ā€“ the desired data type of returned tensor.
 Default: if None, uses a global default
-(see torch.set_default_tensor_type()).
    • 
-
  • device (torch.device, optional) ā€“ the desired device of returned tensor.
+(see torch.set_default_tensor_type()).
    • 
+
  • device (torch.device, optional) ā€“ the desired device of returned tensor.
 Default: if None, uses the current device for the default tensor type
-(see torch.set_default_tensor_type()).
+(see torch.set_default_tensor_type()).
 device will be the CPU for CPU tensor types and the current CUDA
 device for CUDA tensor types.
    • 
 

diff --git a/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html b/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
index 17c8a94ed6..f0f08cc809 100644
--- a/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
+++ b/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.barkscale_fbanks — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.barkscale_fbanks — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -442,7 +442,7 @@
 
torchaudio.prototype.functional.barkscale_fbanksĀ¶

 

 

-torchaudio.prototype.functional.barkscale_fbanks(n_freqs: int, f_min: float, f_max: float, n_barks: int, sample_rate: int, bark_scale: str = 'traunmuller') → Tensor[source]Ā¶

+torchaudio.prototype.functional.barkscale_fbanks(n_freqs: int, f_min: float, f_max: float, n_barks: int, sample_rate: int, bark_scale: str = 'traunmuller') → Tensor[source]Ā¶
 
Create a frequency bin conversion matrix.

 This feature supports the following devices: CPU
 This API supports the following properties: TorchScript
@@ -466,7 +466,7 @@ 
torchaudio.prototype.functional.barkscale_fbanksA * barkscale_fbanks(A.size(-1), ...).

 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.prototype.functional.chroma_filterbank.html b/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
index f4fff2b49d..9f76959317 100644
--- a/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
+++ b/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.chroma_filterbank — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.chroma_filterbank — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -462,7 +462,7 @@ 
torchaudio.prototype.functional.chroma_filterbank
Chroma filter bank, with shape (n_freqs, n_chroma).

 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.prototype.functional.extend_pitch.html b/main/generated/torchaudio.prototype.functional.extend_pitch.html
index 27b1764014..81eaad502e 100644
--- a/main/generated/torchaudio.prototype.functional.extend_pitch.html
+++ b/main/generated/torchaudio.prototype.functional.extend_pitch.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.extend_pitch — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.extend_pitch — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     

     
 
@@ -442,7 +442,7 @@
 
torchaudio.prototype.functional.extend_pitchĀ¶

 

 

-torchaudio.prototype.functional.extend_pitch(base: Tensor, pattern: Union[int, List[float], Tensor])[source]Ā¶

+torchaudio.prototype.functional.extend_pitch(base: Tensor, pattern: Union[int, List[float], Tensor])[source]Ā¶
 
Extend the given time series values with multipliers of them.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -451,8 +451,8 @@ 
torchaudio.prototype.functional.extend_pitch
 
Parameters:

 
    
-
  • base (torch.Tensor) ā€“ Base time series, like fundamental frequencies (Hz). Shape: (ā€¦, time, 1).
    • 
-
  • pattern (int, list of python:floats or torch.Tensor) ā€“ 
    If int, the number of pitch series after the operation.
+
  • base (torch.Tensor) ā€“ Base time series, like fundamental frequencies (Hz). Shape: (ā€¦, time, 1).
    • 
+
  • pattern (int, list of python:floats or torch.Tensor) ā€“ 
    If int, the number of pitch series after the operation.
 pattern - 1 tones are added, so that the resulting Tensor contains
 up to pattern-th overtones of the given series.
    
 
    If list of float or torch.Tensor, it must be one dimensional,
diff --git a/main/generated/torchaudio.prototype.functional.filter_waveform.html b/main/generated/torchaudio.prototype.functional.filter_waveform.html
index 51a857ac30..8d6d680182 100644
--- a/main/generated/torchaudio.prototype.functional.filter_waveform.html
+++ b/main/generated/torchaudio.prototype.functional.filter_waveform.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.filter_waveform — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.filter_waveform — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
    
     
 
@@ -442,7 +442,7 @@
 
    torchaudio.prototype.functional.filter_waveformĀ¶
    
 
    
 
    
-torchaudio.prototype.functional.filter_waveform(waveform: Tensor, kernels: Tensor, delay_compensation: int = -1)[source]Ā¶
    
+torchaudio.prototype.functional.filter_waveform(waveform: Tensor, kernels: Tensor, delay_compensation: int = -1)[source]Ā¶
 
    Applies filters along time axis of the given waveform.
    
 
    This function applies the given filters along time axis in the following manner:
    
 
      
diff --git a/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html b/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
index af23239fff..0085213ad2 100644
--- a/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
+++ b/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.frequency_impulse_response — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.frequency_impulse_response — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
      
     
 
diff --git a/main/generated/torchaudio.prototype.functional.oscillator_bank.html b/main/generated/torchaudio.prototype.functional.oscillator_bank.html
index 4ec389a310..7ad663bc55 100644
--- a/main/generated/torchaudio.prototype.functional.oscillator_bank.html
+++ b/main/generated/torchaudio.prototype.functional.oscillator_bank.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.oscillator_bank — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.oscillator_bank — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
      
     
 
@@ -442,7 +442,7 @@
 
      torchaudio.prototype.functional.oscillator_bankĀ¶
      
 
      
 
      
-torchaudio.prototype.functional.oscillator_bank(frequencies: Tensor, amplitudes: Tensor, sample_rate: float, reduction: str = 'sum', dtype: Optional[dtype] = torch.float64) → Tensor[source]Ā¶
      
+torchaudio.prototype.functional.oscillator_bank(frequencies: Tensor, amplitudes: Tensor, sample_rate: float, reduction: str = 'sum', dtype: Optional[dtype] = torch.float64) → Tensor[source]Ā¶
 
      Synthesize waveform from the given instantaneous frequencies and amplitudes.
      
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.prototype.functional.ray_tracing.html b/main/generated/torchaudio.prototype.functional.ray_tracing.html
index 3d71025939..a2c1332cab 100644
--- a/main/generated/torchaudio.prototype.functional.ray_tracing.html
+++ b/main/generated/torchaudio.prototype.functional.ray_tracing.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.ray_tracing — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.ray_tracing — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
      
     
 
@@ -442,7 +442,7 @@
 
      torchaudio.prototype.functional.ray_tracingĀ¶
      
 
      
 
      
-torchaudio.prototype.functional.ray_tracing(room: Tensor, source: Tensor, mic_array: Tensor, num_rays: int, absorption: Union[float, Tensor] = 0.0, scattering: Union[float, Tensor] = 0.0, mic_radius: float = 0.5, sound_speed: float = 343.0, energy_thres: float = 1e-07, time_thres: float = 10.0, hist_bin_size: float = 0.004) → Tensor[source]Ā¶
      
+torchaudio.prototype.functional.ray_tracing(room: Tensor, source: Tensor, mic_array: Tensor, num_rays: int, absorption: Union[float, Tensor] = 0.0, scattering: Union[float, Tensor] = 0.0, mic_radius: float = 0.5, sound_speed: float = 343.0, energy_thres: float = 1e-07, time_thres: float = 10.0, hist_bin_size: float = 0.004) → Tensor[source]Ā¶
 
      Compute energy histogram via ray tracing.
      
 
      The implementation is based on pyroomacoustics [Scheibler et al., 2018].
      
 
      num_rays rays are casted uniformly in all directions from the source;
@@ -456,11 +456,11 @@ 
      torchaudio.prototype.functional.ray_tracing
 
      Parameters:
      
 
      
 
      
diff --git a/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html b/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
index fa711c329b..0c5cbf1ea2 100644
--- a/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
+++ b/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.simulate_rir_ism — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.simulate_rir_ism — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
      
     
 
@@ -442,7 +442,7 @@
 
      torchaudio.prototype.functional.simulate_rir_ismĀ¶
      
 
      
 
      
-torchaudio.prototype.functional.simulate_rir_ism(room: Tensor, source: Tensor, mic_array: Tensor, max_order: int, absorption: Union[float, Tensor], output_length: Optional[int] = None, delay_filter_length: int = 81, center_frequency: Optional[Tensor] = None, sound_speed: float = 343.0, sample_rate: float = 16000.0) → Tensor[source]Ā¶
      
+torchaudio.prototype.functional.simulate_rir_ism(room: Tensor, source: Tensor, mic_array: Tensor, max_order: int, absorption: Union[float, Tensor], output_length: Optional[int] = None, delay_filter_length: int = 81, center_frequency: Optional[Tensor] = None, sound_speed: float = 343.0, sample_rate: float = 16000.0) → Tensor[source]Ā¶
 
      Compute Room Impulse Response (RIR) based on the image source method [Allen and Berkley, 1979].
 The implementation is based on pyroomacoustics [Scheibler et al., 2018].
      
 This feature supports the following devices: CPU
@@ -450,12 +450,12 @@ 
      torchaudio.prototype.functional.simulate_rir_ism
 
      Parameters:
      
 
        
-
      • room (torch.Tensor) ā€“ Room coordinates. The shape of room must be (3,) which represents
+
      • room (torch.Tensor) ā€“ Room coordinates. The shape of room must be (3,) which represents
 three dimensions of the room.
        • 
-
      • source (torch.Tensor) ā€“ Sound source coordinates. Tensor with dimensions (3,).
        • 
-
      • mic_array (torch.Tensor) ā€“ Microphone coordinates. Tensor with dimensions (channel, 3).
        • 
+
      • source (torch.Tensor) ā€“ Sound source coordinates. Tensor with dimensions (3,).
        • 
+
      • mic_array (torch.Tensor) ā€“ Microphone coordinates. Tensor with dimensions (channel, 3).
        • 
 
      • max_order (int) ā€“ The maximum number of reflections of the source.
        • 
-
      • absorption (float or torch.Tensor) ā€“ The absorption [Wikipedia contributors, n.d.]
+
      • absorption (float or torch.Tensor) ā€“ The absorption [Wikipedia contributors, n.d.]
 coefficients of wall materials for sound energy.
 If the dtype is float, the absorption coefficient is identical for all walls and
 all frequencies.
@@ -472,7 +472,7 @@ 
        torchaudio.prototype.functional.simulate_rir_ismmax_d is the maximum distance between image sources and microphones.
        
 
        • 
 
      • delay_filter_length (int, optional) ā€“ The filter length for computing sinc function. (Default: 81)
        • 
-
      • center_frequency (torch.Tensor, optional) ā€“ The center frequencies of octave bands for multi-band walls.
+
      • center_frequency (torch.Tensor, optional) ā€“ The center frequencies of octave bands for multi-band walls.
 Only used when absorption is a 2D Tensor.
        • 
 
      • sound_speed (float, optional) ā€“ The speed of sound. (Default: 343.0)
        • 
 
      • sample_rate (float, optional) ā€“ The sample rate of the generated room impulse response signal.
@@ -484,7 +484,7 @@ 
        torchaudio.prototype.functional.simulate_rir_ismReturn type:
-
        (torch.Tensor)
        
+
        (torch.Tensor)
        
 
        
 
      
 
      
diff --git a/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html b/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
index 443e3913b1..bec8208192 100644
--- a/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
+++ b/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.sinc_impulse_response — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.sinc_impulse_response — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
      
     
 
@@ -442,7 +442,7 @@
 
      torchaudio.prototype.functional.sinc_impulse_responseĀ¶
      
 
      
 
      
-torchaudio.prototype.functional.sinc_impulse_response(cutoff: Tensor, window_size: int = 513, high_pass: bool = False)[source]Ā¶
      
+torchaudio.prototype.functional.sinc_impulse_response(cutoff: Tensor, window_size: int = 513, high_pass: bool = False)[source]Ā¶
 
      Create windowed-sinc impulse response for given cutoff frequencies.
      
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html b/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
index 12c8041c9d..cd90d28453 100644
--- a/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
+++ b/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
@@ -10,7 +10,7 @@
 
   
   
-  ConformerWav2Vec2PretrainModel — Torchaudio 2.2.0.dev20240424 documentation
+  ConformerWav2Vec2PretrainModel — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
      
     
 
@@ -442,7 +442,7 @@
 
      ConformerWav2Vec2PretrainModelĀ¶
      
 
      
 
      
-class torchaudio.prototype.models.ConformerWav2Vec2PretrainModel(wav2vec2: Wav2Vec2Model, mask_generator: Module, negative_sampler: Module)[source]Ā¶
      
+class torchaudio.prototype.models.ConformerWav2Vec2PretrainModel(wav2vec2: Wav2Vec2Model, mask_generator: Module, negative_sampler: Module)[source]Ā¶
 
      Conformer Wav2Vec2 pre-train model for training from scratch.
      
 
      
 
      Note
      
@@ -468,7 +468,7 @@ 
      forward
 
      
 
      
-ConformerWav2Vec2PretrainModel.forward(features: Tensor, audio_lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor], Tensor, Tensor][source]Ā¶
      
+ConformerWav2Vec2PretrainModel.forward(features: Tensor, audio_lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor], Tensor, Tensor][source]Ā¶
 
      
 
      Parameters:
      
 
        
diff --git a/main/generated/torchaudio.prototype.models.ConvEmformer.html b/main/generated/torchaudio.prototype.models.ConvEmformer.html
index a7b1691474..bc274ad7fa 100644
--- a/main/generated/torchaudio.prototype.models.ConvEmformer.html
+++ b/main/generated/torchaudio.prototype.models.ConvEmformer.html
@@ -10,7 +10,7 @@
 
   
   
-  ConvEmformer — Torchaudio 2.2.0.dev20240424 documentation
+  ConvEmformer — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -490,7 +490,7 @@ 
        forward
 
        
 
        
-ConvEmformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor]Ā¶
        
+ConvEmformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor]Ā¶
 
        Forward pass for training and non-streaming inference.
        
 
        B: batch size;
 T: max number of input frames in batch;
@@ -498,9 +498,9 @@ 
        forward
 
        Parameters:
        
 
          
-
        • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
+
        • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
 shape (B, T + right_context_length, D).
          • 
-
        • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
        • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid utterance frames for i-th batch element in input.
          • 
 
        
 
        
@@ -527,18 +527,18 @@ 
        infer
 
        
 
        
 
        
-ConvEmformer.infer(input: Tensor, lengths: Tensor, states: Optional[List[List[Tensor]]] = None) → Tuple[Tensor, Tensor, List[List[Tensor]]]Ā¶
        
+ConvEmformer.infer(input: Tensor, lengths: Tensor, states: Optional[List[List[Tensor]]] = None) → Tuple[Tensor, Tensor, List[List[Tensor]]]Ā¶
 
        Forward pass for streaming inference.
        
 
        B: batch size;
 D: feature dimension of each frame.
        
 
        
 
        Parameters:
        
 
          
-
        • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
+
        • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
 shape (B, segment_length + right_context_length, D).
          • 
-
        • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
        • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid frames for i-th batch element in input.
          • 
-
        • states (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
+
        • states (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
 representing internal state generated in preceding invocation of infer. (Default: None)
          • 
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html b/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
index 2d108671af..5399c760ab 100644
--- a/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
+++ b/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
@@ -10,7 +10,7 @@
 
   
   
-  HiFiGANVocoder — Torchaudio 2.2.0.dev20240424 documentation
+  HiFiGANVocoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -476,7 +476,7 @@ 
        forward
 
        
 
        
-HiFiGANVocoder.forward(x: Tensor) → Tensor[source]Ā¶
        
+HiFiGANVocoder.forward(x: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        x (Tensor) ā€“ Feature input tensor of shape (batch_size, num_channels, time_length).
        
diff --git a/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html b/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
index 1cb0189c75..c0431ebb78 100644
--- a/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
+++ b/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_rnnt_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_rnnt_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html b/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html
index f63202c7e3..192361c0fb 100644
--- a/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html
+++ b/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_rnnt_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_rnnt_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
index f921d774ec..3c3f9e981d 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_wav2vec2_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_wav2vec2_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
index 692fcbf1d6..21ae1718c2 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_wav2vec2_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_wav2vec2_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html
index 2b477d66fe..178ace4a23 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_wav2vec2_pretrain_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_wav2vec2_pretrain_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html
index 41279b782a..9c6121ae4e 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_wav2vec2_pretrain_large — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_wav2vec2_pretrain_large — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
index 92ed0a85a8..e06e522336 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_wav2vec2_pretrain_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_wav2vec2_pretrain_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.emformer_hubert_base.html b/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
index 0ee463a052..9d4a40fa41 100644
--- a/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
+++ b/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.emformer_hubert_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.emformer_hubert_base — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.emformer_hubert_model.html b/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
index 360e7b0593..07ffe3391b 100644
--- a/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
+++ b/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.emformer_hubert_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.emformer_hubert_model — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder.html
index 7ddca3a663..f622dcc552 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder.html
+++ b/main/generated/torchaudio.prototype.models.hifigan_vocoder.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.hifigan_vocoder — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.hifigan_vocoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html
index 6e499ec937..6a79ffd875 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html
+++ b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.hifigan_vocoder_v1 — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.hifigan_vocoder_v1 — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html
index f3c0e99f5b..f0d2a1caf4 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html
+++ b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.hifigan_vocoder_v2 — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.hifigan_vocoder_v2 — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html
index db1a750b1a..3850552fb2 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html
+++ b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.hifigan_vocoder_v3 — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.hifigan_vocoder_v3 — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html
index 08655af8d2..8aa25b252f 100644
--- a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html
+++ b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html
@@ -10,7 +10,7 @@
 
   
   
-  EMFORMER_RNNT_BASE_MUSTC — Torchaudio 2.2.0.dev20240424 documentation
+  EMFORMER_RNNT_BASE_MUSTC — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
index 259a30e6c3..bfe800a9cf 100644
--- a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
+++ b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
@@ -10,7 +10,7 @@
 
   
   
-  EMFORMER_RNNT_BASE_TEDLIUM3 — Torchaudio 2.2.0.dev20240424 documentation
+  EMFORMER_RNNT_BASE_TEDLIUM3 — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html b/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
index 6e084dd581..a079ee2dc3 100644
--- a/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
+++ b/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  HIFIGAN_VOCODER_V3_LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  HIFIGAN_VOCODER_V3_LJSPEECH — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html b/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
index 3d4d5dc3fe..1eb77c8ee6 100644
--- a/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
+++ b/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  HiFiGANVocoderBundle — Torchaudio 2.2.0.dev20240424 documentation
+  HiFiGANVocoderBundle — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -529,7 +529,7 @@ 
        get_mel_transform
 
        
 
        
-HiFiGANVocoderBundle.get_mel_transform() → Module[source]Ā¶
        
+HiFiGANVocoderBundle.get_mel_transform() → Module[source]Ā¶
 
        Construct an object which transforms waveforms into mel spectrograms.
        
 
        
 
@@ -543,10 +543,10 @@ 
        get_vocoderHiFiGANVocoderBundle.get_vocoder(*, dl_kwargs=None) → HiFiGANVocoder[source]Ā¶
 
        Construct the HiFiGAN Generator model, which can be used a vocoder, and load the pretrained weight.
        
 
        The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
        
+torch.hub.load_state_dict_from_url()
        
 
        
 
        Parameters:
        
-
        dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
        
+
        dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
        
 
        
 
        Returns:
        
 
        Variation of HiFiGANVocoder.
        
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGISH.html b/main/generated/torchaudio.prototype.pipelines.VGGISH.html
index 9d53698f84..bda51dfc1a 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGISH.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGISH.html
@@ -10,7 +10,7 @@
 
   
   
-  VGGISH — Torchaudio 2.2.0.dev20240424 documentation
+  VGGISH — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
index 880904188c..08ca0637d2 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
@@ -10,7 +10,7 @@
 
   
   
-  VGGishBundle.VGGish — Torchaudio 2.2.0.dev20240424 documentation
+  VGGishBundle.VGGish — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -453,16 +453,16 @@ 
        forward
 
        
 
        
-VGGish.forward(input: Tensor) → TensorĀ¶
        
+VGGish.forward(input: Tensor) → TensorĀ¶
 
        
 
        Parameters:
        
-
        input (torch.Tensor) ā€“ batch of spectrograms, with shape (n_example, 1, n_frame, 64).
        
+
        input (torch.Tensor) ā€“ batch of spectrograms, with shape (n_example, 1, n_frame, 64).
        
 
        
 
        Returns:
        
 
        model output, with shape (n_example, 128).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
index f6a343d2eb..84672ef74e 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
@@ -10,7 +10,7 @@
 
   
   
-  VGGishBundle.VGGishInputProcessor — Torchaudio 2.2.0.dev20240424 documentation
+  VGGishBundle.VGGishInputProcessor — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -453,11 +453,11 @@ 
        __call__
 
        
 
        
-VGGishInputProcessor.__call__(input: Tensor) → TensorĀ¶
        
+VGGishInputProcessor.__call__(input: Tensor) → TensorĀ¶
 
        
 
        Parameters:
        
 
          
-
        • input (torch.Tensor) ā€“ waveform, with shape (T,).
          • 
+
        • input (torch.Tensor) ā€“ waveform, with shape (T,).
          • 
 
        • sample_rate (int) ā€“ sample rate of waveform in hertz.
          • 
 
        
 
        
@@ -465,7 +465,7 @@ 
        __call__
        batch of examples to pass to VGGish, with shape (n_example, 1, n_frame, 64).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
index e2d057b60b..7fe40a1998 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  VGGishBundle — Torchaudio 2.2.0.dev20240424 documentation
+  VGGishBundle — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.transforms.BarkScale.html b/main/generated/torchaudio.prototype.transforms.BarkScale.html
index 7944e08604..f1877eddd8 100644
--- a/main/generated/torchaudio.prototype.transforms.BarkScale.html
+++ b/main/generated/torchaudio.prototype.transforms.BarkScale.html
@@ -10,7 +10,7 @@
 
   
   
-  BarkScale — Torchaudio 2.2.0.dev20240424 documentation
+  BarkScale — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -477,16 +477,16 @@ 
        BarkScale
 
        
-forward(specgram: Tensor) → Tensor[source]Ā¶
        
+forward(specgram: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
-
        specgram (torch.Tensor) ā€“ A spectrogram STFT of dimension (ā€¦, freq, time).
        
+
        specgram (torch.Tensor) ā€“ A spectrogram STFT of dimension (ā€¦, freq, time).
        
 
        
 
        Returns:
        
 
        Bark frequency spectrogram of size (ā€¦, n_barks, time).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html b/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
index d8a7519377..9266d5985a 100644
--- a/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
+++ b/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  BarkSpectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  BarkSpectrogram — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -468,7 +468,7 @@ 
        BarkSpectrogramfloat or None, optional) ā€“ Maximum frequency. (Default: None)
        
 
      • pad (int, optional) ā€“ Two sided padding of signal. (Default: 0)
        • 
 
      • n_mels (int, optional) ā€“ Number of mel filterbanks. (Default: 128)
        • 
-
      • window_fn (Callable[..., torch.Tensor], optional) ā€“ A function to create a window tensor
+
      • window_fn (Callable[..., torch.Tensor], optional) ā€“ A function to create a window tensor
 that is applied/multiplied to each frame/window. (Default: torch.hann_window)
        • 
 
      • power (float, optional) ā€“ Exponent for the magnitude spectrogram,
 (must be > 0) e.g., 1 for energy, 2 for power, etc. (Default: 2)
        • 
@@ -498,16 +498,16 @@ 
        BarkSpectrogram
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
-
        waveform (torch.Tensor) ā€“ torch.Tensor of audio of dimension (ā€¦, time).
        
+
        waveform (torch.Tensor) ā€“ torch.Tensor of audio of dimension (ā€¦, time).
        
 
        
 
        Returns:
        
 
        Bark frequency spectrogram of size (ā€¦, n_barks, time).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.transforms.ChromaScale.html b/main/generated/torchaudio.prototype.transforms.ChromaScale.html
index b7cdcc985f..a05ed3578e 100644
--- a/main/generated/torchaudio.prototype.transforms.ChromaScale.html
+++ b/main/generated/torchaudio.prototype.transforms.ChromaScale.html
@@ -10,7 +10,7 @@
 
   
   
-  ChromaScale — Torchaudio 2.2.0.dev20240424 documentation
+  ChromaScale — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -478,16 +478,16 @@ 
        ChromaScale
 
        
-forward(x: Tensor) → Tensor[source]Ā¶
        
+forward(x: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
-
        specgram (torch.Tensor) ā€“ Spectrogram of dimension (ā€¦, n_freqs, time).
        
+
        specgram (torch.Tensor) ā€“ Spectrogram of dimension (ā€¦, n_freqs, time).
        
 
        
 
        Returns:
        
 
        Chroma spectrogram of size (ā€¦, n_chroma, time).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html b/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
index 0625796897..0f4f451402 100644
--- a/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
+++ b/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  ChromaSpectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  ChromaSpectrogram — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -456,7 +456,7 @@ 
        ChromaSpectrogramint or None, optional) ā€“ Window size. (Default: n_fft)
        
 
      • hop_length (int or None, optional) ā€“ Length of hop between STFT windows. (Default: win_length // 2)
        • 
 
      • pad (int, optional) ā€“ Two sided padding of signal. (Default: 0)
        • 
-
      • window_fn (Callable[..., torch.Tensor], optional) ā€“ A function to create a window tensor
+
      • window_fn (Callable[..., torch.Tensor], optional) ā€“ A function to create a window tensor
 that is applied/multiplied to each frame/window. (Default: torch.hann_window)
        • 
 
      • power (float, optional) ā€“ Exponent for the magnitude spectrogram,
 (must be > 0) e.g., 1 for energy, 2 for power, etc. (Default: 2)
        • 
@@ -487,7 +487,7 @@ 
        ChromaSpectrogram
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html b/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
index f2a621671b..acd29898d8 100644
--- a/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
+++ b/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
@@ -10,7 +10,7 @@
 
   
   
-  InverseBarkScale — Torchaudio 2.2.0.dev20240424 documentation
+  InverseBarkScale — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -475,16 +475,16 @@ 
        InverseBarkScale
 
        
-forward(barkspec: Tensor) → Tensor[source]Ā¶
        
+forward(barkspec: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
-
        barkspec (torch.Tensor) ā€“ A Bark frequency spectrogram of dimension (ā€¦, n_barks, time)
        
+
        barkspec (torch.Tensor) ā€“ A Bark frequency spectrogram of dimension (ā€¦, n_barks, time)
        
 
        
 
        Returns:
        
 
        Linear scale spectrogram of size (ā€¦, freq, time)
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.save.html b/main/generated/torchaudio.save.html
index 594c71b139..9beb22200b 100644
--- a/main/generated/torchaudio.save.html
+++ b/main/generated/torchaudio.save.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.save — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.save — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -440,7 +440,7 @@
 
        torchaudio.saveĀ¶
        
 
        
 
        
-torchaudio.save(uri: Union[BinaryIO, str, PathLike], src: Tensor, sample_rate: int, channels_first: bool = True, format: Optional[str] = None, encoding: Optional[str] = None, bits_per_sample: Optional[int] = None, buffer_size: int = 4096, backend: Optional[str] = None, compression: Optional[Union[CodecConfig, float, int]] = None)Ā¶
        
+torchaudio.save(uri: Union[BinaryIO, str, PathLike], src: Tensor, sample_rate: int, channels_first: bool = True, format: Optional[str] = None, encoding: Optional[str] = None, bits_per_sample: Optional[int] = None, buffer_size: int = 4096, backend: Optional[str] = None, compression: Optional[Union[CodecConfig, float, int]] = None)Ā¶
 
        Save audio data to file.
        
 
        
 
        Note
        
@@ -456,7 +456,7 @@ 
        torchaudio.saveParameters:
 
          
 
        • uri (str or pathlib.Path) ā€“ Path to audio file.
          • 
-
        • src (torch.Tensor) ā€“ Audio data to save. must be 2D tensor.
          • 
+
        • src (torch.Tensor) ā€“ Audio data to save. must be 2D tensor.
          • 
 
        • sample_rate (int) ā€“ sampling rate
          • 
 
        • channels_first (bool, optional) ā€“ If True, the given tensor is interpreted as [channel, time],
 otherwise [time, channel].
          • 
diff --git a/main/generated/torchaudio.sox_effects.apply_effects_file.html b/main/generated/torchaudio.sox_effects.apply_effects_file.html
index ab222fcdfd..22c3060090 100644
--- a/main/generated/torchaudio.sox_effects.apply_effects_file.html
+++ b/main/generated/torchaudio.sox_effects.apply_effects_file.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.sox_effects.apply_effects_file — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.sox_effects.apply_effects_file — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
@@ -440,7 +440,7 @@
 
          torchaudio.sox_effects.apply_effects_fileĀ¶
          
 
          
 
          
-torchaudio.sox_effects.apply_effects_file(path: str, effects: List[List[str]], normalize: bool = True, channels_first: bool = True, format: Optional[str] = None) → Tuple[Tensor, int][source]Ā¶
          
+torchaudio.sox_effects.apply_effects_file(path: str, effects: List[List[str]], normalize: bool = True, channels_first: bool = True, format: Optional[str] = None) → Tuple[Tensor, int][source]Ā¶
 
          Apply sox effects to the audio file and load the resulting data as Tensor
          
 This feature supports the following devices: CPU
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.sox_effects.apply_effects_tensor.html b/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
index 2afde38add..92098f9af1 100644
--- a/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
+++ b/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.sox_effects.apply_effects_tensor — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.sox_effects.apply_effects_tensor — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
@@ -440,7 +440,7 @@
 
          torchaudio.sox_effects.apply_effects_tensorĀ¶
          
 
          
 
          
-torchaudio.sox_effects.apply_effects_tensor(tensor: Tensor, sample_rate: int, effects: List[List[str]], channels_first: bool = True) → Tuple[Tensor, int][source]Ā¶
          
+torchaudio.sox_effects.apply_effects_tensor(tensor: Tensor, sample_rate: int, effects: List[List[str]], channels_first: bool = True) → Tuple[Tensor, int][source]Ā¶
 
          Apply sox effects to given Tensor
          
 This feature supports the following devices: CPU
 This API supports the following properties: TorchScript
@@ -456,7 +456,7 @@ 
          torchaudio.sox_effects.apply_effects_tensor
 
          Parameters:
          
 
            
-
          • tensor (torch.Tensor) ā€“ Input 2D CPU Tensor.
            • 
+
          • tensor (torch.Tensor) ā€“ Input 2D CPU Tensor.
            • 
 
          • sample_rate (int) ā€“ Sample rate
            • 
 
          • effects (List[List[str]]) ā€“ List of effects.
            • 
 
          • channels_first (bool, optional) ā€“ Indicates if the input Tensorā€™s dimension is
diff --git a/main/generated/torchaudio.sox_effects.effect_names.html b/main/generated/torchaudio.sox_effects.effect_names.html
index ed0d292553..d8058c6847 100644
--- a/main/generated/torchaudio.sox_effects.effect_names.html
+++ b/main/generated/torchaudio.sox_effects.effect_names.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.sox_effects.effect_names — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.sox_effects.effect_names — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
            
     
 
diff --git a/main/generated/torchaudio.transforms.AddNoise.html b/main/generated/torchaudio.transforms.AddNoise.html
index aad0a05ac5..47a86df16c 100644
--- a/main/generated/torchaudio.transforms.AddNoise.html
+++ b/main/generated/torchaudio.transforms.AddNoise.html
@@ -10,7 +10,7 @@
 
   
   
-  AddNoise — Torchaudio 2.2.0.dev20240424 documentation
+  AddNoise — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
            
     
 
@@ -447,14 +447,14 @@ 
            AddNoiseThis API supports the following properties: Autograd, TorchScript
 
            
 
            
-forward(waveform: Tensor, noise: Tensor, snr: Tensor, lengths: Optional[Tensor] = None) → Tensor[source]Ā¶
            
+forward(waveform: Tensor, noise: Tensor, snr: Tensor, lengths: Optional[Tensor] = None) → Tensor[source]Ā¶
 
            
 
            Parameters:
            
 
              
-
            • waveform (torch.Tensor) ā€“ Input waveform, with shape (ā€¦, L).
              • 
-
            • noise (torch.Tensor) ā€“ Noise, with shape (ā€¦, L) (same shape as waveform).
              • 
-
            • snr (torch.Tensor) ā€“ Signal-to-noise ratios in dB, with shape (ā€¦,).
              • 
-
            • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform and noise,
              • 
+
            • waveform (torch.Tensor) ā€“ Input waveform, with shape (ā€¦, L).
              • 
+
            • noise (torch.Tensor) ā€“ Noise, with shape (ā€¦, L) (same shape as waveform).
              • 
+
            • snr (torch.Tensor) ā€“ Signal-to-noise ratios in dB, with shape (ā€¦,).
              • 
+
            • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform and noise,
              • 
 
            • ` (with shape) ā€“ 
              • 
 
            • (Default (elements in waveform and noise are treated as valid.) ā€“ None)
              • 
 
            
@@ -464,7 +464,7 @@ 
            AddNoisewaveform).
            
 
            
 
            Return type:
            
-
            torch.Tensor
            
+
            torch.Tensor
            
 
            
 
            
 
            
diff --git a/main/generated/torchaudio.transforms.AmplitudeToDB.html b/main/generated/torchaudio.transforms.AmplitudeToDB.html
index dd89d5c022..a3a3f5c65d 100644
--- a/main/generated/torchaudio.transforms.AmplitudeToDB.html
+++ b/main/generated/torchaudio.transforms.AmplitudeToDB.html
@@ -10,7 +10,7 @@
 
   
   
-  AmplitudeToDB — Torchaudio 2.2.0.dev20240424 documentation
+  AmplitudeToDB — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
            
     
 
@@ -471,7 +471,7 @@ 
            AmplitudeToDB
 
            
-forward(x: Tensor) → Tensor[source]Ā¶
            
+forward(x: Tensor) → Tensor[source]Ā¶
 
            Numerically stable implementation from Librosa.
            
 
            https://librosa.org/doc/latest/generated/librosa.amplitude_to_db.html
            
 
            
diff --git a/main/generated/torchaudio.transforms.ComputeDeltas.html b/main/generated/torchaudio.transforms.ComputeDeltas.html
index b246994ca6..aa39705208 100644
--- a/main/generated/torchaudio.transforms.ComputeDeltas.html
+++ b/main/generated/torchaudio.transforms.ComputeDeltas.html
@@ -10,7 +10,7 @@
 
   
   
-  ComputeDeltas — Torchaudio 2.2.0.dev20240424 documentation
+  ComputeDeltas — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
            
     
 
@@ -455,7 +455,7 @@ 
            ComputeDeltas
 
            
-forward(specgram: Tensor) → Tensor[source]Ā¶
            
+forward(specgram: Tensor) → Tensor[source]Ā¶
 
            
 
            Parameters:
            
 
            specgram (Tensor) ā€“ Tensor of audio of dimension (ā€¦, freq, time).
            
diff --git a/main/generated/torchaudio.transforms.Convolve.html b/main/generated/torchaudio.transforms.Convolve.html
index 7f16adbd36..ea233e534f 100644
--- a/main/generated/torchaudio.transforms.Convolve.html
+++ b/main/generated/torchaudio.transforms.Convolve.html
@@ -10,7 +10,7 @@
 
   
   
-  Convolve — Torchaudio 2.2.0.dev20240424 documentation
+  Convolve — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
            
     
 
@@ -442,7 +442,7 @@ 
            Convolve
 class torchaudio.transforms.Convolve(mode: str = 'full')[source]Ā¶
 
            Convolves inputs along their last dimension using the direct method.
-Note that, in contrast to torch.nn.Conv1d, which actually applies the valid cross-correlation
+Note that, in contrast to torch.nn.Conv1d, which actually applies the valid cross-correlation
 operator, this module applies the true convolution operator.
            
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -461,12 +461,12 @@ 
            Convolve
 
            
-forward(x: Tensor, y: Tensor) → Tensor[source]Ā¶
            
+forward(x: Tensor, y: Tensor) → Tensor[source]Ā¶
 
            
 
            Parameters:
            
 
              
-
            • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
              • 
-
            • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
+
            • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
              • 
+
            • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
 (leading dimensions must be broadcast-able with those of x).
              • 
 
            
 
            
@@ -475,7 +475,7 @@ 
            Convolvex and L is dictated by mode.
            
 
            
 
            Return type:
            
-
            torch.Tensor
            
+
            torch.Tensor
            
 
            
 
            
 
            
diff --git a/main/generated/torchaudio.transforms.Deemphasis.html b/main/generated/torchaudio.transforms.Deemphasis.html
index b67409790e..9d4cecfc6f 100644
--- a/main/generated/torchaudio.transforms.Deemphasis.html
+++ b/main/generated/torchaudio.transforms.Deemphasis.html
@@ -10,7 +10,7 @@
 
   
   
-  Deemphasis — Torchaudio 2.2.0.dev20240424 documentation
+  Deemphasis — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
            
     
 
@@ -453,16 +453,16 @@ 
            Deemphasis
 
            
-forward(waveform: Tensor) → Tensor[source]Ā¶
            
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
            
 
            Parameters:
            
-
            waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
            
+
            waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
            
 
            
 
            Returns:
            
 
            De-emphasized waveform, with shape (ā€¦, N).
            
 
            
 
            Return type:
            
-
            torch.Tensor
            
+
            torch.Tensor
            
 
            
 
            
 
          
diff --git a/main/generated/torchaudio.transforms.FFTConvolve.html b/main/generated/torchaudio.transforms.FFTConvolve.html
index 55dafa5b0b..f5661d43f0 100644
--- a/main/generated/torchaudio.transforms.FFTConvolve.html
+++ b/main/generated/torchaudio.transforms.FFTConvolve.html
@@ -10,7 +10,7 @@
 
   
   
-  FFTConvolve — Torchaudio 2.2.0.dev20240424 documentation
+  FFTConvolve — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
@@ -443,7 +443,7 @@ 
          FFTConvolveclass torchaudio.transforms.FFTConvolve(mode: str = 'full')[source]Ā¶
 
          Convolves inputs along their last dimension using FFT. For inputs with large last dimensions, this module
 is generally much faster than Convolve.
-Note that, in contrast to torch.nn.Conv1d, which actually applies the valid cross-correlation
+Note that, in contrast to torch.nn.Conv1d, which actually applies the valid cross-correlation
 operator, this module applies the true convolution operator.
 Also note that this module can only output float tensors (int tensor inputs will be cast to float).
          
 This feature supports the following devices: CPU, CUDA
@@ -463,12 +463,12 @@ 
          FFTConvolve
 
          
-forward(x: Tensor, y: Tensor) → Tensor[source]Ā¶
          
+forward(x: Tensor, y: Tensor) → Tensor[source]Ā¶
 
          
 
          Parameters:
          
 
            
-
          • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
            • 
-
          • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
+
          • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
            • 
+
          • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
 (leading dimensions must be broadcast-able with those of x).
            • 
 
          
 
          
@@ -477,7 +477,7 @@ 
          FFTConvolvex and L is dictated by mode.
          
 
          
 
          Return type:
          
-
          torch.Tensor
          
+
          torch.Tensor
          
 
          
 
          
 
        
diff --git a/main/generated/torchaudio.transforms.Fade.html b/main/generated/torchaudio.transforms.Fade.html
index 25c8391a07..a07e1254a4 100644
--- a/main/generated/torchaudio.transforms.Fade.html
+++ b/main/generated/torchaudio.transforms.Fade.html
@@ -10,7 +10,7 @@
 
   
   
-  Fade — Torchaudio 2.2.0.dev20240424 documentation
+  Fade — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -469,7 +469,7 @@ 
        FadeĀ¶<
 
        
 
        
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.FrequencyMasking.html b/main/generated/torchaudio.transforms.FrequencyMasking.html
index 42d169a843..152272817c 100644
--- a/main/generated/torchaudio.transforms.FrequencyMasking.html
+++ b/main/generated/torchaudio.transforms.FrequencyMasking.html
@@ -10,7 +10,7 @@
 
   
   
-  FrequencyMasking — Torchaudio 2.2.0.dev20240424 documentation
+  FrequencyMasking — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.transforms.GriffinLim.html b/main/generated/torchaudio.transforms.GriffinLim.html
index 2432d7d89e..1f2543593f 100644
--- a/main/generated/torchaudio.transforms.GriffinLim.html
+++ b/main/generated/torchaudio.transforms.GriffinLim.html
@@ -10,7 +10,7 @@
 
   
   
-  GriffinLim — Torchaudio 2.2.0.dev20240424 documentation
+  GriffinLim — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -485,7 +485,7 @@ 
        GriffinLim
 
        
-forward(specgram: Tensor) → Tensor[source]Ā¶
        
+forward(specgram: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        specgram (Tensor) ā€“ A magnitude-only STFT spectrogram of dimension (ā€¦, freq, frames)
diff --git a/main/generated/torchaudio.transforms.InverseMelScale.html b/main/generated/torchaudio.transforms.InverseMelScale.html
index d027d22f5a..880e586ad7 100644
--- a/main/generated/torchaudio.transforms.InverseMelScale.html
+++ b/main/generated/torchaudio.transforms.InverseMelScale.html
@@ -10,7 +10,7 @@
 
   
   
-  InverseMelScale — Torchaudio 2.2.0.dev20240424 documentation
+  InverseMelScale — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -475,7 +475,7 @@ 
        InverseMelScale
 
        
-forward(melspec: Tensor) → Tensor[source]Ā¶
        
+forward(melspec: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        melspec (Tensor) ā€“ A Mel frequency spectrogram of dimension (ā€¦, n_mels, time)
        
diff --git a/main/generated/torchaudio.transforms.InverseSpectrogram.html b/main/generated/torchaudio.transforms.InverseSpectrogram.html
index 7fddd9dc1a..61447f4f85 100644
--- a/main/generated/torchaudio.transforms.InverseSpectrogram.html
+++ b/main/generated/torchaudio.transforms.InverseSpectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  InverseSpectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  InverseSpectrogram — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -486,7 +486,7 @@ 
        InverseSpectrogram
 
        
-forward(spectrogram: Tensor, length: Optional[int] = None) → Tensor[source]Ā¶
        
+forward(spectrogram: Tensor, length: Optional[int] = None) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
          
diff --git a/main/generated/torchaudio.transforms.LFCC.html b/main/generated/torchaudio.transforms.LFCC.html
index 36771bcd47..050fc09365 100644
--- a/main/generated/torchaudio.transforms.LFCC.html
+++ b/main/generated/torchaudio.transforms.LFCC.html
@@ -10,7 +10,7 @@
 
   
   
-  LFCC — Torchaudio 2.2.0.dev20240424 documentation
+  LFCC — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
@@ -490,7 +490,7 @@ 
          LFCCĀ¶<
 
        
 
        
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.Loudness.html b/main/generated/torchaudio.transforms.Loudness.html
index 021eec00c5..94e508f871 100644
--- a/main/generated/torchaudio.transforms.Loudness.html
+++ b/main/generated/torchaudio.transforms.Loudness.html
@@ -10,7 +10,7 @@
 
   
   
-  Loudness — Torchaudio 2.2.0.dev20240424 documentation
+  Loudness — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -463,10 +463,10 @@ 
        Loudness
 
        
-forward(wavefrom: Tensor)[source]Ā¶
        
+forward(wavefrom: Tensor)[source]Ā¶
 
        
 
        Parameters:
        
-
        waveform (torch.Tensor) ā€“ audio waveform of dimension (ā€¦, channels, time)
        
+
        waveform (torch.Tensor) ā€“ audio waveform of dimension (ā€¦, channels, time)
        
 
        
 
        Returns:
        
 
        loudness estimates (LKFS)
        
diff --git a/main/generated/torchaudio.transforms.MFCC.html b/main/generated/torchaudio.transforms.MFCC.html
index ee722e3f40..593b1d52df 100644
--- a/main/generated/torchaudio.transforms.MFCC.html
+++ b/main/generated/torchaudio.transforms.MFCC.html
@@ -10,7 +10,7 @@
 
   
   
-  MFCC — Torchaudio 2.2.0.dev20240424 documentation
+  MFCC — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -487,7 +487,7 @@ 
        MFCCĀ¶<
 
        
 
        
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.MVDR.html b/main/generated/torchaudio.transforms.MVDR.html
index 0786e52360..4d447e156a 100644
--- a/main/generated/torchaudio.transforms.MVDR.html
+++ b/main/generated/torchaudio.transforms.MVDR.html
@@ -10,7 +10,7 @@
 
   
   
-  MVDR — Torchaudio 2.2.0.dev20240424 documentation
+  MVDR — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -498,17 +498,17 @@ 
        MVDRĀ¶<
 
        
 
        
 
        
-forward(specgram: Tensor, mask_s: Tensor, mask_n: Optional[Tensor] = None) → Tensor[source]Ā¶
        
+forward(specgram: Tensor, mask_s: Tensor, mask_n: Optional[Tensor] = None) → Tensor[source]Ā¶
 
        Perform MVDR beamforming.
        
 
        
 
        Parameters:
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.MelScale.html b/main/generated/torchaudio.transforms.MelScale.html
index 9efcc981b3..2d57449598 100644
--- a/main/generated/torchaudio.transforms.MelScale.html
+++ b/main/generated/torchaudio.transforms.MelScale.html
@@ -10,7 +10,7 @@
 
   
   
-  MelScale — Torchaudio 2.2.0.dev20240424 documentation
+  MelScale — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -475,7 +475,7 @@ 
        MelScale
 
        
-forward(specgram: Tensor) → Tensor[source]Ā¶
        
+forward(specgram: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        specgram (Tensor) ā€“ A spectrogram STFT of dimension (ā€¦, freq, time).
        
diff --git a/main/generated/torchaudio.transforms.MelSpectrogram.html b/main/generated/torchaudio.transforms.MelSpectrogram.html
index b79177e4c4..6f590fe5df 100644
--- a/main/generated/torchaudio.transforms.MelSpectrogram.html
+++ b/main/generated/torchaudio.transforms.MelSpectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  MelSpectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  MelSpectrogram — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -504,7 +504,7 @@ 
        MelSpectrogram
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.MuLawDecoding.html b/main/generated/torchaudio.transforms.MuLawDecoding.html
index 8329297dc8..f6dbd7f49e 100644
--- a/main/generated/torchaudio.transforms.MuLawDecoding.html
+++ b/main/generated/torchaudio.transforms.MuLawDecoding.html
@@ -10,7 +10,7 @@
 
   
   
-  MuLawDecoding — Torchaudio 2.2.0.dev20240424 documentation
+  MuLawDecoding — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -463,7 +463,7 @@ 
        MuLawDecoding
 
        
-forward(x_mu: Tensor) → Tensor[source]Ā¶
        
+forward(x_mu: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        x_mu (Tensor) ā€“ A mu-law encoded signal which needs to be decoded.
        
diff --git a/main/generated/torchaudio.transforms.MuLawEncoding.html b/main/generated/torchaudio.transforms.MuLawEncoding.html
index a95eeb0a37..ef21f7bef9 100644
--- a/main/generated/torchaudio.transforms.MuLawEncoding.html
+++ b/main/generated/torchaudio.transforms.MuLawEncoding.html
@@ -10,7 +10,7 @@
 
   
   
-  MuLawEncoding — Torchaudio 2.2.0.dev20240424 documentation
+  MuLawEncoding — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -463,7 +463,7 @@ 
        MuLawEncoding
 
        
-forward(x: Tensor) → Tensor[source]Ā¶
        
+forward(x: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        x (Tensor) ā€“ A signal to be encoded.
        
diff --git a/main/generated/torchaudio.transforms.PSD.html b/main/generated/torchaudio.transforms.PSD.html
index 3b4683bac7..fe9e958ca6 100644
--- a/main/generated/torchaudio.transforms.PSD.html
+++ b/main/generated/torchaudio.transforms.PSD.html
@@ -10,7 +10,7 @@
 
   
   
-  PSD — Torchaudio 2.2.0.dev20240424 documentation
+  PSD — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -461,13 +461,13 @@ 
        PSDĀ¶
 
        
 
        
-forward(specgram: Tensor, mask: Optional[Tensor] = None)[source]Ā¶
        
+forward(specgram: Tensor, mask: Optional[Tensor] = None)[source]Ā¶
 
        
 
        Parameters:
        
 
          
-
        • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
+
        • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
 Tensor with dimensions (ā€¦, channel, freq, time).
          • 
-
        • mask (torch.Tensor or None, optional) ā€“ Time-Frequency mask for normalization.
+
        • mask (torch.Tensor or None, optional) ā€“ Time-Frequency mask for normalization.
 Tensor with dimensions (ā€¦, freq, time) if multi_mask is False or
 with dimensions (ā€¦, channel, freq, time) if multi_mask is True.
 (Default: None)
          • 
@@ -481,7 +481,7 @@ 
          PSDĀ¶
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.PitchShift.html b/main/generated/torchaudio.transforms.PitchShift.html
index 5f2bcdb427..86515b47a5 100644
--- a/main/generated/torchaudio.transforms.PitchShift.html
+++ b/main/generated/torchaudio.transforms.PitchShift.html
@@ -10,7 +10,7 @@
 
   
   
-  PitchShift — Torchaudio 2.2.0.dev20240424 documentation
+  PitchShift — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -478,7 +478,7 @@ 
        PitchShift
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.Preemphasis.html b/main/generated/torchaudio.transforms.Preemphasis.html
index f45c94c9b5..69382f6f96 100644
--- a/main/generated/torchaudio.transforms.Preemphasis.html
+++ b/main/generated/torchaudio.transforms.Preemphasis.html
@@ -10,7 +10,7 @@
 
   
   
-  Preemphasis — Torchaudio 2.2.0.dev20240424 documentation
+  Preemphasis — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -453,16 +453,16 @@ 
        Preemphasis
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
-
        waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
        
+
        waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
        
 
        
 
        Returns:
        
 
        Pre-emphasized waveform, with shape (ā€¦, N).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.RNNTLoss.html b/main/generated/torchaudio.transforms.RNNTLoss.html
index 10cf38b506..8ab0a26e47 100644
--- a/main/generated/torchaudio.transforms.RNNTLoss.html
+++ b/main/generated/torchaudio.transforms.RNNTLoss.html
@@ -10,7 +10,7 @@
 
   
   
-  RNNTLoss — Torchaudio 2.2.0.dev20240424 documentation
+  RNNTLoss — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -481,7 +481,7 @@ 
        RNNTLoss
 
        
-forward(logits: Tensor, targets: Tensor, logit_lengths: Tensor, target_lengths: Tensor)[source]Ā¶
        
+forward(logits: Tensor, targets: Tensor, logit_lengths: Tensor, target_lengths: Tensor)[source]Ā¶
 
        
 
        Parameters:
        
 
        
diff --git a/main/generated/torchaudio.transforms.Resample.html b/main/generated/torchaudio.transforms.Resample.html
index 0f636a0fa3..707f720984 100644
--- a/main/generated/torchaudio.transforms.Resample.html
+++ b/main/generated/torchaudio.transforms.Resample.html
@@ -10,7 +10,7 @@
 
   
   
-  Resample — Torchaudio 2.2.0.dev20240424 documentation
+  Resample — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -440,7 +440,7 @@
 
        ResampleĀ¶
        
 
        
 
        
-class torchaudio.transforms.Resample(orig_freq: int = 16000, new_freq: int = 16000, resampling_method: str = 'sinc_interp_hann', lowpass_filter_width: int = 6, rolloff: float = 0.99, beta: Optional[float] = None, *, dtype: Optional[dtype] = None)[source]Ā¶
        
+class torchaudio.transforms.Resample(orig_freq: int = 16000, new_freq: int = 16000, resampling_method: str = 'sinc_interp_hann', lowpass_filter_width: int = 6, rolloff: float = 0.99, beta: Optional[float] = None, *, dtype: Optional[dtype] = None)[source]Ā¶
 
        Resample a signal from one frequency to another. A resampling method can be given.
        
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -463,7 +463,7 @@ 
        Resamplefloat, optional) ā€“ The roll-off frequency of the filter, as a fraction of the Nyquist.
 Lower values reduce anti-aliasing, but also reduce some of the highest frequencies. (Default: 0.99)
        
 
      • beta (float or None, optional) ā€“ The shape parameter used for kaiser window.
        • 
-
      • dtype (torch.device, optional) ā€“ Determnines the precision that resampling kernel is pre-computed and cached. If not provided,
+
      • dtype (torch.device, optional) ā€“ Determnines the precision that resampling kernel is pre-computed and cached. If not provided,
 kernel is computed with torch.float64 then cached as torch.float32.
 If you need higher precision, provide torch.float64, and the pre-computed kernel is computed and
 cached as torch.float64. If you use resample with lower precision, then instead of providing this
@@ -489,7 +489,7 @@ 
        Resample
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.SlidingWindowCmn.html b/main/generated/torchaudio.transforms.SlidingWindowCmn.html
index 636d5c2e97..8cf8adf6eb 100644
--- a/main/generated/torchaudio.transforms.SlidingWindowCmn.html
+++ b/main/generated/torchaudio.transforms.SlidingWindowCmn.html
@@ -10,7 +10,7 @@
 
   
   
-  SlidingWindowCmn — Torchaudio 2.2.0.dev20240424 documentation
+  SlidingWindowCmn — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -466,7 +466,7 @@ 
        SlidingWindowCmn
 
        
-forward(specgram: Tensor) → Tensor[source]Ā¶
        
+forward(specgram: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        specgram (Tensor) ā€“ Tensor of spectrogram of dimension (ā€¦, time, freq).
        
diff --git a/main/generated/torchaudio.transforms.SoudenMVDR.html b/main/generated/torchaudio.transforms.SoudenMVDR.html
index be6c102c95..a60b9318be 100644
--- a/main/generated/torchaudio.transforms.SoudenMVDR.html
+++ b/main/generated/torchaudio.transforms.SoudenMVDR.html
@@ -10,7 +10,7 @@
 
   
   
-  SoudenMVDR — Torchaudio 2.2.0.dev20240424 documentation
+  SoudenMVDR — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -469,17 +469,17 @@ 
        SoudenMVDR
 
        
-forward(specgram: Tensor, psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶
        
+forward(specgram: Tensor, psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
          
-
        • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
+
        • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
 Tensor with dimensions (ā€¦, channel, freq, time).
          • 
-
        • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
+
        • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions (ā€¦, freq, channel, channel).
          • 
-
        • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
+
        • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions (ā€¦, freq, channel, channel).
          • 
-
        • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
+
        • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
 If the dtype is int, it represents the reference channel index.
 If the dtype is torch.Tensor, its shape is (ā€¦, channel), where the channel dimension
 is one-hot.
          • 
@@ -495,7 +495,7 @@ 
          SoudenMVDR
          Single-channel complex-valued enhanced spectrum with dimensions (ā€¦, freq, time).
          
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.SpectralCentroid.html b/main/generated/torchaudio.transforms.SpectralCentroid.html
index 04cadb6418..88bcd7db24 100644
--- a/main/generated/torchaudio.transforms.SpectralCentroid.html
+++ b/main/generated/torchaudio.transforms.SpectralCentroid.html
@@ -10,7 +10,7 @@
 
   
   
-  SpectralCentroid — Torchaudio 2.2.0.dev20240424 documentation
+  SpectralCentroid — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -470,7 +470,7 @@ 
        SpectralCentroid
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.Spectrogram.html b/main/generated/torchaudio.transforms.Spectrogram.html
index 93fa96c5e0..e13728b43b 100644
--- a/main/generated/torchaudio.transforms.Spectrogram.html
+++ b/main/generated/torchaudio.transforms.Spectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  Spectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  Spectrogram — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -497,7 +497,7 @@ 
        Spectrogram
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.Speed.html b/main/generated/torchaudio.transforms.Speed.html
index d38c74531a..2a375f2858 100644
--- a/main/generated/torchaudio.transforms.Speed.html
+++ b/main/generated/torchaudio.transforms.Speed.html
@@ -10,7 +10,7 @@
 
   
   
-  Speed — Torchaudio 2.2.0.dev20240424 documentation
+  Speed — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -455,12 +455,12 @@ 
        Speed
 
        
 
        
 
        
-forward(waveform, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
        
+forward(waveform, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
 
        
 
        Parameters:
        
 
          
-
        • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
          • 
-
        • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
+
        • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
          • 
+
        • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
 If None, all elements in waveform are treated as valid. (Default: None)
          • 
 
        
 
        
@@ -475,7 +475,7 @@ 
        Speed
 
        
 
        
 
        Return type:
        
-
        (torch.Tensor, torch.Tensor or None)
        
+
        (torch.Tensor, torch.Tensor or None)
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.SpeedPerturbation.html b/main/generated/torchaudio.transforms.SpeedPerturbation.html
index 95ef7a0f4e..84ebe52f17 100644
--- a/main/generated/torchaudio.transforms.SpeedPerturbation.html
+++ b/main/generated/torchaudio.transforms.SpeedPerturbation.html
@@ -10,7 +10,7 @@
 
   
   
-  SpeedPerturbation — Torchaudio 2.2.0.dev20240424 documentation
+  SpeedPerturbation — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -467,12 +467,12 @@ 
        SpeedPerturbation
 
        
-forward(waveform: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
        
+forward(waveform: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
 
        
 
        Parameters:
        
 
          
-
        • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
          • 
-
        • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
+
        • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
          • 
+
        • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
 If None, all elements in waveform are treated as valid. (Default: None)
          • 
 
        
 
        
@@ -487,7 +487,7 @@ 
        SpeedPerturbationReturn type:
-
        (torch.Tensor, torch.Tensor or None)
        
+
        (torch.Tensor, torch.Tensor or None)
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.TimeMasking.html b/main/generated/torchaudio.transforms.TimeMasking.html
index e02e6ed15b..166bd06640 100644
--- a/main/generated/torchaudio.transforms.TimeMasking.html
+++ b/main/generated/torchaudio.transforms.TimeMasking.html
@@ -10,7 +10,7 @@
 
   
   
-  TimeMasking — Torchaudio 2.2.0.dev20240424 documentation
+  TimeMasking — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.transforms.TimeStretch.html b/main/generated/torchaudio.transforms.TimeStretch.html
index cc2bd4a1ec..edb764049a 100644
--- a/main/generated/torchaudio.transforms.TimeStretch.html
+++ b/main/generated/torchaudio.transforms.TimeStretch.html
@@ -10,7 +10,7 @@
 
   
   
-  TimeStretch — Torchaudio 2.2.0.dev20240424 documentation
+  TimeStretch — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
        
     
 
@@ -478,7 +478,7 @@ 
        TimeStretch
 
        
-forward(complex_specgrams: Tensor, overriding_rate: Optional[float] = None) → Tensor[source]Ā¶
        
+forward(complex_specgrams: Tensor, overriding_rate: Optional[float] = None) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
          
diff --git a/main/generated/torchaudio.transforms.Vad.html b/main/generated/torchaudio.transforms.Vad.html
index 176bd63159..bc1cac3e04 100644
--- a/main/generated/torchaudio.transforms.Vad.html
+++ b/main/generated/torchaudio.transforms.Vad.html
@@ -10,7 +10,7 @@
 
   
   
-  Vad — Torchaudio 2.2.0.dev20240424 documentation
+  Vad — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
@@ -500,7 +500,7 @@ 
          VadĀ¶
 
          
 
          
-forward(waveform: Tensor) → Tensor[source]Ā¶
          
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
          
 
          Parameters:
          
 
          waveform (Tensor) ā€“ Tensor of audio of dimension (channels, time) or (time)
diff --git a/main/generated/torchaudio.transforms.Vol.html b/main/generated/torchaudio.transforms.Vol.html
index 85149dd687..afd07631e5 100644
--- a/main/generated/torchaudio.transforms.Vol.html
+++ b/main/generated/torchaudio.transforms.Vol.html
@@ -10,7 +10,7 @@
 
   
   
-  Vol — Torchaudio 2.2.0.dev20240424 documentation
+  Vol — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
@@ -465,7 +465,7 @@ 
          VolĀ¶
 
          
 
          
-forward(waveform: Tensor) → Tensor[source]Ā¶
          
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
          
 
          Parameters:
          
 
          waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
          
diff --git a/main/generated/torchaudio.utils.ffmpeg_utils.html b/main/generated/torchaudio.utils.ffmpeg_utils.html
index 5846cbc720..3080c02063 100644
--- a/main/generated/torchaudio.utils.ffmpeg_utils.html
+++ b/main/generated/torchaudio.utils.ffmpeg_utils.html
@@ -10,7 +10,7 @@
 
   
   
-  ffmpeg_utils — Torchaudio 2.2.0.dev20240424 documentation
+  ffmpeg_utils — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/generated/torchaudio.utils.sox_utils.html b/main/generated/torchaudio.utils.sox_utils.html
index db19fc2b43..d39f375113 100644
--- a/main/generated/torchaudio.utils.sox_utils.html
+++ b/main/generated/torchaudio.utils.sox_utils.html
@@ -10,7 +10,7 @@
 
   
   
-  sox_utils — Torchaudio 2.2.0.dev20240424 documentation
+  sox_utils — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/generated/torio.io.StreamingMediaDecoder.html b/main/generated/torio.io.StreamingMediaDecoder.html
index 9d72c04e11..4d5a1eb01d 100644
--- a/main/generated/torio.io.StreamingMediaDecoder.html
+++ b/main/generated/torio.io.StreamingMediaDecoder.html
@@ -10,7 +10,7 @@
 
   
   
-  StreamingMediaDecoder — Torchaudio 2.2.0.dev20240424 documentation
+  StreamingMediaDecoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
@@ -1184,10 +1184,10 @@ 
          ChunkTensorclass torio.io._streaming_media_decoder.ChunkTensor[source]Ā¶
 
          Decoded media frames with metadata.
          
 
          The instance of this class represents the decoded video/audio frames with
-metadata, and the instance itself behave like Tensor.
          
+metadata, and the instance itself behave like Tensor.
          
 
          Client codes can pass instance of this class as-if itā€™s
-Tensor class, or call the methods defined on
-Tensor class.
          
+Tensor class, or call the methods defined on
+Tensor class.
          
 
          Example
          
 
          >>> # Define input streams
 >>> reader = StreamingMediaDecoder(...)
diff --git a/main/generated/torio.io.StreamingMediaEncoder.html b/main/generated/torio.io.StreamingMediaEncoder.html
index 906bd5b293..accb779a7d 100644
--- a/main/generated/torio.io.StreamingMediaEncoder.html
+++ b/main/generated/torio.io.StreamingMediaEncoder.html
@@ -10,7 +10,7 @@
 
   
   
-  StreamingMediaEncoder — Torchaudio 2.2.0.dev20240424 documentation
+  StreamingMediaEncoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
@@ -812,7 +812,7 @@ 
          write_audio_chunk
 
          
 
          
-StreamingMediaEncoder.write_audio_chunk(i: int, chunk: Tensor, pts: Optional[float] = None)[source]Ā¶
          
+StreamingMediaEncoder.write_audio_chunk(i: int, chunk: Tensor, pts: Optional[float] = None)[source]Ā¶
 
          Write audio data
          
 
          
 
          Parameters:
          
@@ -840,7 +840,7 @@ 
          write_video_chunk
 
          
 
          
-StreamingMediaEncoder.write_video_chunk(i: int, chunk: Tensor, pts: Optional[float] = None)[source]Ā¶
          
+StreamingMediaEncoder.write_video_chunk(i: int, chunk: Tensor, pts: Optional[float] = None)[source]Ā¶
 
          Write video/image data
          
 
          
 
          Parameters:
          
diff --git a/main/generated/torio.utils.ffmpeg_utils.html b/main/generated/torio.utils.ffmpeg_utils.html
index a7fac14349..e2fe0f95ab 100644
--- a/main/generated/torio.utils.ffmpeg_utils.html
+++ b/main/generated/torio.utils.ffmpeg_utils.html
@@ -10,7 +10,7 @@
 
   
   
-  ffmpeg_utils — Torchaudio 2.2.0.dev20240424 documentation
+  ffmpeg_utils — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/genindex.html b/main/genindex.html
index 980901289a..42cd8b0c85 100644
--- a/main/genindex.html
+++ b/main/genindex.html
@@ -9,7 +9,7 @@
   
   
   
-  Index — Torchaudio 2.2.0.dev20240424 documentation
+  Index — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
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-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/index.html b/main/index.html
index 104aee2484..473c2459ed 100644
--- a/main/index.html
+++ b/main/index.html
@@ -10,7 +10,7 @@
 
   
   
-  Torchaudio Documentation — Torchaudio 2.2.0.dev20240424 documentation
+  Torchaudio Documentation — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
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diff --git a/main/installation.html b/main/installation.html
index 502dffeac3..811f37287e 100644
--- a/main/installation.html
+++ b/main/installation.html
@@ -10,7 +10,7 @@
 
   
   
-  Installing pre-built binaries — Torchaudio 2.2.0.dev20240424 documentation
+  Installing pre-built binaries — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
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diff --git a/main/io.html b/main/io.html
index 17e0eca5d8..401d5fc0b5 100644
--- a/main/io.html
+++ b/main/io.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.io — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.io — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
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-      2.2.0.dev20240424 ▼
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diff --git a/main/kaldi_io.html b/main/kaldi_io.html
index 95b90437fa..a5a18898b8 100644
--- a/main/kaldi_io.html
+++ b/main/kaldi_io.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.kaldi_io — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.kaldi_io — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
@@ -437,14 +437,14 @@
   
          
 
          torchaudio.kaldi_ioĀ¶
          
 
          To use this module, the dependency kaldi_io needs to be installed.
-This is a light wrapper around kaldi_io that returns torch.Tensor.
          
+This is a light wrapper around kaldi_io that returns torch.Tensor.
          
 
          
 
          VectorsĀ¶
          
 
          
 
          read_vec_int_arkĀ¶
          
 
          
 
          
-torchaudio.kaldi_io.read_vec_int_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
          
+torchaudio.kaldi_io.read_vec_int_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
 
          Create generator of (key,vector<int>) tuples, which reads from the ark file/stream.
          
 
          
 
          Parameters:
          
@@ -471,7 +471,7 @@ 
          read_vec_int_arkread_vec_flt_scpĀ¶
          
 
          
 
          
-torchaudio.kaldi_io.read_vec_flt_scp(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
          
+torchaudio.kaldi_io.read_vec_flt_scp(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
 
          Create generator of (key,vector<float32/float64>) tuples, read according to Kaldi scp.
          
 
          
 
          Parameters:
          
@@ -498,7 +498,7 @@ 
          read_vec_flt_scpread_vec_flt_arkĀ¶
          
 
          
 
          
-torchaudio.kaldi_io.read_vec_flt_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
          
+torchaudio.kaldi_io.read_vec_flt_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
 
          Create generator of (key,vector<float32/float64>) tuples, which reads from the ark file/stream.
          
 
          
 
          Parameters:
          
@@ -528,7 +528,7 @@ 
          Matricesread_mat_scpĀ¶
          
 
          
 
          
-torchaudio.kaldi_io.read_mat_scp(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
          
+torchaudio.kaldi_io.read_mat_scp(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
 
          Create generator of (key,matrix<float32/float64>) tuples, read according to Kaldi scp.
          
 
          
 
          Parameters:
          
@@ -555,7 +555,7 @@ 
          read_mat_scpread_mat_arkĀ¶
          
 
          
 
          
-torchaudio.kaldi_io.read_mat_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
          
+torchaudio.kaldi_io.read_mat_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
 
          Create generator of (key,matrix<float32/float64>) tuples, which reads from the ark file/stream.
          
 
          
 
          Parameters:
          
diff --git a/main/libtorio.html b/main/libtorio.html
index 6d16dba18b..d3a1b09c72 100644
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+  libtorio — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
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diff --git a/main/libtorio.stream_reader.html b/main/libtorio.stream_reader.html
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+++ b/main/libtorio.stream_reader.html
@@ -10,7 +10,7 @@
 
   
   
-  torio::io::StreamingMediaDecoder — Torchaudio 2.2.0.dev20240424 documentation
+  torio::io::StreamingMediaDecoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
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index 094f0ce0d6..26c7f2bdb9 100644
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+++ b/main/libtorio.stream_writer.html
@@ -10,7 +10,7 @@
 
   
   
-  torio::io::StreamingMediaEncoder — Torchaudio 2.2.0.dev20240424 documentation
+  torio::io::StreamingMediaEncoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
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diff --git a/main/logo.html b/main/logo.html
index 657224701c..ac5c995e11 100644
--- a/main/logo.html
+++ b/main/logo.html
@@ -10,7 +10,7 @@
 
   
   
-  TorchAudio Logo — Torchaudio 2.2.0.dev20240424 documentation
+  TorchAudio Logo — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/models.decoder.html b/main/models.decoder.html
index 10ab661d02..2e255aaa77 100644
--- a/main/models.decoder.html
+++ b/main/models.decoder.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.decoder — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.decoder — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
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diff --git a/main/models.html b/main/models.html
index 4a1632bbd7..3f42f0371b 100644
--- a/main/models.html
+++ b/main/models.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
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-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/objects.inv b/main/objects.inv
index 4d9afbcf74..9667e6c21f 100644
Binary files a/main/objects.inv and b/main/objects.inv differ
diff --git a/main/pipelines.html b/main/pipelines.html
index e35b4a5384..6d528ea15c 100644
--- a/main/pipelines.html
+++ b/main/pipelines.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.pipelines — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.pipelines — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
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diff --git a/main/prototype.datasets.html b/main/prototype.datasets.html
index 58a2caa939..c6ef6aafe5 100644
--- a/main/prototype.datasets.html
+++ b/main/prototype.datasets.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.datasets — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.datasets — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
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+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/prototype.functional.html b/main/prototype.functional.html
index d65e8af142..9534c6b5c8 100644
--- a/main/prototype.functional.html
+++ b/main/prototype.functional.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
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+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/prototype.html b/main/prototype.html
index f29da49ca3..9545a074b8 100644
--- a/main/prototype.html
+++ b/main/prototype.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
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diff --git a/main/prototype.models.html b/main/prototype.models.html
index 8f44393cfb..a66fbf7c76 100644
--- a/main/prototype.models.html
+++ b/main/prototype.models.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
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-      2.2.0.dev20240424 ▼
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diff --git a/main/prototype.pipelines.html b/main/prototype.pipelines.html
index 826ff5c81d..0fbb30569a 100644
--- a/main/prototype.pipelines.html
+++ b/main/prototype.pipelines.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.pipelines — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.pipelines — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/prototype.transforms.html b/main/prototype.transforms.html
index 772621a70c..63050a34ea 100644
--- a/main/prototype.transforms.html
+++ b/main/prototype.transforms.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.transforms — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.transforms — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
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diff --git a/main/py-modindex.html b/main/py-modindex.html
index 51a7aac170..13b5bed0d5 100644
--- a/main/py-modindex.html
+++ b/main/py-modindex.html
@@ -9,7 +9,7 @@
   
   
   
-  Python Module Index — Torchaudio 2.2.0.dev20240424 documentation
+  Python Module Index — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
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index 41d338f0bc..0734c9c5fe 100644
--- a/main/references.html
+++ b/main/references.html
@@ -10,7 +10,7 @@
 
   
   
-  References — Torchaudio 2.2.0.dev20240424 documentation
+  References — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
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diff --git a/main/search.html b/main/search.html
index 44ceaeb61a..f05d098bf3 100644
--- a/main/search.html
+++ b/main/search.html
@@ -9,7 +9,7 @@
   
   
   
-  Search — Torchaudio 2.2.0.dev20240424 documentation
+  Search — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -221,7 +221,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/searchindex.js b/main/searchindex.js
index 8f5731b81c..440142f8ca 100644
--- a/main/searchindex.js
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"torchaudio.functional.bandreject_biquad", "torchaudio.functional.bass_biquad", "torchaudio.functional.biquad", "torchaudio.functional.compute_deltas", "torchaudio.functional.contrast", "torchaudio.functional.convolve", "torchaudio.functional.create_dct", "torchaudio.functional.dcshift", "torchaudio.functional.deemph_biquad", "torchaudio.functional.deemphasis", "torchaudio.functional.detect_pitch_frequency", "torchaudio.functional.dither", "torchaudio.functional.edit_distance", "torchaudio.functional.equalizer_biquad", "torchaudio.functional.fftconvolve", "torchaudio.functional.filtfilt", "torchaudio.functional.flanger", "torchaudio.functional.forced_align", "torchaudio.functional.frechet_distance", "torchaudio.functional.gain", "torchaudio.functional.griffinlim", "torchaudio.functional.highpass_biquad", "torchaudio.functional.inverse_spectrogram", "torchaudio.functional.lfilter", "torchaudio.functional.linear_fbanks", "torchaudio.functional.loudness", 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47, 56, 69, 70, 75, 76, 87, 88, 94, 100, 102, 104, 105, 106, 107, 109, 113, 116, 122, 136, 200, 207, 208, 214, 215, 216, 218, 225, 232, 233, 243, 244, 250, 252, 253, 261, 270, 271, 272, 273, 284, 285, 288, 292, 293, 313, 314, 318, 319, 320, 321, 324, 326, 327, 330, 331, 332, 335, 337, 340, 341], "n11": 1, "tag": [1, 7, 292, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "git": [1, 2, 3, 4], "clone": [1, 2, 4, 304, 327], "videolan": 1, "org": [1, 3, 4, 32, 36, 40, 41, 42, 43, 44, 50, 55, 57, 63, 68, 84, 92, 95, 159, 165, 166, 233, 248, 284, 285, 288, 304, 308, 312, 313, 319, 322, 324, 325, 326, 332, 333, 335, 336, 337, 338, 339, 341, 342], "nv": 1, "cd": [1, 2, 3, 4, 50], "checkout": [1, 4], "10": [1, 9, 10, 11, 35, 37, 52, 58, 82, 101, 105, 114, 119, 128, 129, 130, 131, 142, 159, 169, 170, 171, 180, 183, 186, 196, 197, 200, 207, 211, 215, 243, 244, 271, 284, 285, 288, 292, 304, 312, 313, 314, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 332, 333, 334, 335, 336, 337, 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93, 100, 105, 114, 116, 130, 204, 206, 221, 222, 223, 233, 240, 241, 272, 280, 288, 308, 312, 313, 320, 321, 322, 323, 325, 326, 327, 328, 332, 333, 335, 339, 340, 341], "000000": [1, 337], "bitrat": [1, 95, 243], "1294": 1, "kb": 1, "eng": [1, 338], "high": [1, 9, 10, 213, 271, 304, 314, 321, 322, 326, 327, 331, 332, 338], "avc1": 1, "0x31637661": 1, "yuv420p": [1, 284, 292, 330, 338, 340], "tv": 1, "bt709": 1, "960x540": [1, 330, 338], "sar": 1, "dar": 1, "16": [1, 94, 95, 100, 102, 125, 164, 171, 200, 207, 215, 243, 282, 284, 285, 286, 292, 304, 313, 319, 321, 322, 326, 327, 330, 332, 335, 338, 340, 342], "1156": 1, "29": [1, 171, 313, 321, 327, 328, 330, 331, 333, 337, 338, 342], "97": [1, 9, 10, 11, 51, 81, 239, 251, 268, 313, 321, 326, 327, 328, 330, 336], "fp": [1, 330, 331, 337, 338], "tbr": 1, "30k": 1, "tbn": 1, "59": [1, 171, 313, 321, 327, 328, 330, 336, 338, 342], "94": [1, 313, 321, 327, 328, 330, 336, 342], "tbc": 1, "handler_nam": [1, 338], "mainconcept": [1, 338], "media": [1, 284, 285, 287, 292, 293, 307, 325, 332, 337, 339, 340], "handler": [1, 338], "vendor_id": [1, 338], "lc": 1, "mp4a": 1, "0x6134706d": 1, "48000": [1, 50, 84, 320, 322, 323, 337, 338], "hz": [1, 36, 40, 41, 42, 43, 52, 55, 58, 63, 66, 68, 71, 79, 84, 92, 205, 207, 210, 244, 245, 285, 312, 320, 333, 336, 337, 338], "stereo": [1, 324, 340], "fltp": [1, 284, 292, 322, 332, 337, 338, 340], "128": [1, 101, 102, 104, 111, 114, 192, 193, 194, 224, 236, 238, 239, 242, 243, 256, 258, 262, 263, 318, 320, 321, 324, 325, 327, 337, 338, 340], "sound": [1, 17, 46, 93, 204, 211, 212, 280, 284, 315, 322, 328, 329, 333, 338, 340], "map": [1, 28, 64, 90, 107, 116, 118, 119, 200, 257, 275, 282, 283, 284, 285, 286, 313, 314, 320, 321, 326, 332, 342], "press": [1, 339], "stop": [1, 111, 113, 211, 242, 284, 319, 320, 322, 339], "help": [1, 4, 93, 244, 280, 292, 320, 331, 336, 339], "output": [1, 5, 9, 10, 11, 33, 35, 37, 39, 44, 51, 54, 56, 57, 59, 62, 64, 65, 77, 79, 81, 85, 93, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 111, 113, 114, 115, 116, 117, 136, 143, 144, 145, 146, 147, 148, 159, 160, 198, 200, 201, 204, 206, 210, 211, 212, 215, 218, 219, 220, 221, 222, 223, 224, 225, 236, 248, 252, 255, 257, 258, 260, 261, 269, 271, 280, 282, 284, 285, 286, 292, 293, 313, 314, 315, 321, 326, 328, 329, 330, 331, 335, 336, 337, 339, 342], "progress": [1, 342], "31": [1, 101, 111, 171, 313, 315, 320, 321, 326, 327, 328, 330, 336, 342], "5000": [1, 207, 320], "lavc58": 1, "134": [1, 313, 321, 327, 334], "side": [1, 64, 89, 90, 239, 241, 257, 263, 274, 275, 314, 328, 340], "cpb": 1, "max": [1, 23, 37, 47, 56, 58, 59, 85, 101, 104, 107, 111, 118, 172, 173, 212, 215, 250, 252, 269, 312, 327, 333, 341], "min": [1, 23, 47, 56, 69, 70, 250, 252, 313, 336], "avg": 1, "5000000": 1, "buffer": [1, 94, 100, 243, 283, 284, 285, 292, 293, 319, 331, 338, 340], "10000000": 1, "vbv_delai": 1, "frame": [1, 9, 10, 11, 24, 52, 62, 64, 78, 80, 88, 89, 90, 94, 95, 100, 101, 102, 104, 106, 107, 108, 111, 113, 114, 116, 117, 119, 122, 130, 159, 200, 204, 214, 215, 218, 225, 239, 241, 253, 255, 257, 263, 267, 272, 274, 275, 279, 284, 285, 292, 293, 313, 314, 315, 319, 322, 323, 331, 332, 335, 336, 338, 339, 340], "6175": [1, 338], "1712": 1, "lsize": 1, "37935kb": 1, "time": [1, 7, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 50, 52, 53, 55, 57, 58, 59, 61, 62, 63, 64, 65, 67, 68, 69, 70, 72, 77, 78, 79, 80, 82, 83, 84, 88, 89, 90, 91, 92, 93, 95, 98, 100, 102, 103, 105, 108, 109, 110, 111, 113, 114, 116, 117, 122, 159, 173, 201, 204, 207, 208, 210, 211, 214, 216, 220, 223, 238, 239, 240, 241, 242, 243, 244, 245, 249, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 284, 285, 287, 292, 293, 304, 312, 313, 314, 315, 316, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 335, 336, 337, 338, 340, 341, 342], "1508": 1, "5kbit": 1, "speed": [1, 58, 78, 79, 119, 211, 212, 244, 245, 277, 279, 314, 315, 320, 330, 331], "57": [1, 304, 313, 314, 321, 327, 328, 331, 338, 342], "1x": 1, "34502kb": 1, "3234kb": 1, "subtitl": [1, 284, 292], "0kb": 1, "other": [1, 4, 9, 10, 14, 19, 20, 24, 39, 93, 100, 105, 153, 154, 155, 158, 179, 180, 181, 182, 183, 184, 187, 188, 189, 198, 199, 200, 244, 245, 261, 280, 284, 288, 292, 297, 304, 313, 314, 318, 319, 321, 323, 327, 328, 330, 332, 335, 338, 340], "global": [1, 204, 285, 307, 310, 320, 322, 332, 343], "mux": [1, 339], "overhead": [1, 322, 330], "526932": 1, "onc": [1, 95, 271, 284, 285, 292, 319, 323, 324, 327, 328, 335, 338, 340, 342], "properli": [1, 284, 322], "pick": [1, 285, 319, 327, 335], "correctli": [1, 306, 330, 331, 342], "There": [1, 288, 294, 313, 319, 321, 323, 326, 327, 333, 335, 338, 339], "queri": [1, 287, 291, 304, 310], "ffmpeg_util": [1, 2, 100, 243, 324, 330, 331, 340], "get_video_decod": [1, 284, 330], "get_video_encod": [1, 285, 331], "often": [1, 4, 330, 331, 335, 340], "case": [1, 4, 94, 165, 166, 208, 233, 284, 285, 292, 293, 297, 304, 306, 319, 320, 321, 322, 327, 330, 331, 333, 338, 340, 342], "multipl": [1, 3, 4, 6, 79, 83, 95, 191, 192, 193, 194, 285, 288, 293, 307, 319, 320, 321, 323, 325, 326, 327, 330, 335, 337, 338, 340], "load": [1, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 75, 76, 87, 114, 137, 138, 164, 165, 166, 198, 199, 200, 203, 233, 235, 238, 239, 240, 241, 242, 244, 245, 248, 253, 256, 258, 259, 260, 261, 262, 263, 264, 265, 267, 270, 271, 272, 273, 274, 275, 280, 281, 282, 284, 287, 305, 313, 314, 315, 318, 320, 321, 323, 324, 326, 327, 328, 330, 338, 339, 340, 342], "differ": [1, 4, 23, 37, 57, 65, 95, 106, 113, 114, 158, 165, 166, 171, 198, 199, 200, 208, 210, 232, 233, 242, 243, 244, 245, 248, 254, 258, 260, 278, 284, 285, 288, 292, 297, 306, 307, 312, 313, 314, 315, 318, 319, 321, 322, 323, 325, 328, 330, 331, 333, 335, 336, 337, 338, 339, 340, 342], "than": [1, 39, 49, 56, 91, 100, 101, 208, 220, 223, 244, 252, 271, 276, 277, 284, 285, 292, 313, 314, 320, 321, 322, 330, 331, 332, 335, 340], "expect": [1, 7, 9, 10, 11, 37, 62, 73, 74, 78, 98, 118, 119, 122, 134, 159, 165, 166, 173, 198, 199, 200, 235, 255, 264, 279, 284, 285, 293, 313, 322, 326, 328, 331, 332, 335, 338, 340, 342], "get_build_config": [1, 2], "get_vers": [1, 324, 330, 331, 340], "get": [1, 2, 3, 4, 9, 10, 16, 18, 19, 23, 25, 26, 27, 30, 31, 94, 116, 200, 203, 244, 246, 261, 282, 283, 284, 286, 288, 292, 308, 312, 313, 314, 318, 319, 320, 321, 322, 323, 325, 329, 333, 335, 336, 338, 339, 340, 341], "inform": [1, 4, 94, 165, 166, 171, 198, 199, 200, 210, 233, 282, 284, 286, 292, 297, 298, 304, 307, 323, 332, 335, 338], "about": [1, 284, 292, 313, 314, 338, 339, 342], "import": [1, 2, 137, 138, 159, 164, 165, 166, 171, 198, 199, 200, 233, 235, 271, 298, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "print": [1, 2, 159, 164, 165, 166, 171, 198, 282, 286, 304, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "nbuild": 1, "config": [1, 2, 4, 95, 282, 286, 291, 319, 324, 331, 340], "ndecod": 1, "k": [1, 171, 198, 200, 282, 286, 304, 312, 313, 314, 321, 324, 326, 327, 330, 331, 333, 335, 338, 340, 342], "kei": [1, 23, 284, 290, 292, 314, 319, 322, 330, 331, 338, 342], "nencod": 1, "56": [1, 191, 282, 286, 312, 313, 320, 321, 327, 328, 331], "58": [1, 304, 313, 321, 324, 327, 330, 331, 332, 340, 342], "54": [1, 171, 313, 320, 321, 326, 327, 328, 335, 336, 338, 342], "toolchain": [1, 2, 4], "harden": [1, 2], "libdir": [1, 2], "x86_64": [1, 3, 4, 282, 286], "gnu": [1, 2], "incdir": [1, 2], "avresampl": [1, 2], "resampl": [1, 2, 95, 165, 166, 198, 199, 200, 235, 244, 245, 284, 285, 287, 293, 304, 306, 311, 313, 317, 318, 334, 335, 336, 338], "avisynth": [1, 2], "ladspa": [1, 2], "libaom": [1, 2, 282, 286], "libass": [1, 2], "libblurai": [1, 2], "libbs2b": [1, 2], "libcaca": [1, 2], "libcdio": [1, 2], "libcodec2": [1, 2], "libflit": [1, 2], "libfontconfig": [1, 2], "libfreetyp": [1, 2, 282, 286], "libfribidi": [1, 2], "libgm": [1, 2], "libgsm": [1, 2], "libjack": [1, 2], "libmp3lam": [1, 2, 282, 285, 286, 340], "libmysofa": [1, 2], "libopenjpeg": [1, 2], "libopenmpt": [1, 2], "libopu": [1, 2], "libpuls": [1, 2], "librsvg": [1, 2], "librubberband": [1, 2], "libshin": [1, 2], "libsnappi": [1, 2], "libsoxr": [1, 2], "libspeex": [1, 2], "libssh": [1, 2], "libtheora": [1, 2], "libtwolam": [1, 2], "libvidstab": [1, 2], "libvorbi": [1, 2, 285], "libvpx": [1, 2, 282, 286], "libwavpack": [1, 2], "libwebp": [1, 2], "libx265": [1, 2, 282, 286], "libxml2": [1, 2, 282, 286], "libxvid": [1, 2], "libzmq": [1, 2], "libzvbi": [1, 2], "lv2": [1, 2], "omx": [1, 2], "open": [1, 2, 4, 284, 290, 291, 292, 304, 314, 319, 321, 326, 331, 337, 339, 340], "opencl": [1, 2], "opengl": [1, 2, 339], "sdl2": [1, 2, 339], "libdc1394": [1, 2], "libdrm": [1, 2], "libiec61883": [1, 2], "chromaprint": [1, 2], "frei0r": [1, 2], "hevc_cuvid": [1, 330], "mjpeg_cuvid": [1, 330], "mpeg1_cuvid": [1, 330], "mpeg2_cuvid": [1, 330], "mpeg4_cuvid": [1, 330], "vc1_cuvid": [1, 330], "vp8_cuvid": [1, 330], "vp9_cuvid": [1, 330], "nvenc_h264": 1, "nvenc_hevc": 1, "hevc_nvenc": [1, 331], "fine": [1, 22, 106, 113, 137, 142, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 200, 224, 225, 306, 322, 331, 335], "collect": [2, 23, 323, 328], "relat": [2, 4, 284, 285, 292, 328, 332, 342], "nvidia": [2, 4, 111, 330, 331, 342], "embed": [2, 105, 111, 122, 130, 142, 148, 218, 220, 223, 304], "learn": [2, 105, 110, 111, 136, 191, 219, 221, 222, 263, 287, 297, 304, 328, 335, 336], "agx": 2, "orin": 2, "devkit": 2, "date": [2, 4, 292, 307], "instruct": [2, 3, 4, 149, 150, 151, 152, 162, 163, 230, 231, 232, 312, 325, 333, 341], "bash": [2, 4, 326, 342], "echo": [2, 95, 315, 326], "deb": 2, "repo": [2, 342], "common": [2, 8, 162, 163, 282, 286, 292, 295, 301, 304, 311, 312, 316, 318, 319, 328, 330, 333, 338, 342], "r34": 2, "etc": [2, 62, 90, 239, 241, 244, 255, 263, 275, 282, 286, 339, 340], "l4t": 2, "t234": 2, "dist": 2, "upgrad": 2, "reboot": 2, "stabl": [2, 7, 248], "b118": 2, "arm64": [2, 3, 282, 286], "automat": [2, 159, 171, 244, 245, 285, 287, 288, 292, 304, 330, 335, 340], "243": 2, "14": [2, 171, 200, 288, 304, 313, 315, 320, 321, 324, 326, 327, 328, 330, 334, 337, 338, 342], "libcudnn8": 2, "49": [2, 313, 321, 327, 328], "cuda11": 2, "cudnn8": 2, "tegra": 2, "gpu": [2, 4, 117, 287, 320, 330, 331, 342], "isntal": 2, "onli": [2, 3, 4, 9, 10, 11, 49, 56, 59, 62, 64, 65, 75, 76, 87, 88, 90, 93, 98, 100, 111, 114, 116, 137, 198, 212, 243, 244, 245, 252, 254, 255, 256, 261, 266, 270, 272, 273, 278, 280, 282, 284, 285, 286, 288, 292, 293, 308, 312, 313, 314, 318, 319, 320, 322, 326, 328, 332, 335, 336, 340, 342], "super": [2, 244, 245, 311, 313, 323, 335], "sure": [2, 4, 164, 232, 288, 323], "u": [2, 4, 75, 76, 107, 198, 200, 261, 270, 273, 284, 290, 313, 314, 321, 326, 327, 330, 331, 335], "won": [2, 288, 332, 342], "priviledg": 2, "pip3": [2, 328, 329, 336, 342], "ones": [2, 104, 115, 215, 232, 285, 312, 325, 333, 335, 341], "from": [2, 3, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 37, 49, 62, 64, 65, 69, 70, 72, 74, 85, 90, 93, 95, 100, 105, 108, 110, 111, 112, 113, 114, 115, 116, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 152, 153, 154, 155, 156, 157, 158, 159, 160, 164, 165, 166, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 198, 199, 200, 201, 204, 206, 208, 209, 210, 211, 214, 219, 221, 222, 232, 233, 234, 235, 240, 241, 242, 243, 244, 248, 254, 255, 256, 257, 258, 260, 261, 265, 267, 269, 271, 275, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 290, 292, 293, 294, 297, 298, 304, 307, 312, 313, 314, 315, 317, 318, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "directori": [2, 4, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 203, 288, 328], "its": [2, 13, 26, 35, 51, 75, 76, 81, 87, 111, 118, 207, 208, 211, 251, 268, 270, 273, 284, 285, 292, 297, 307, 312, 313, 315, 319, 320, 323, 326, 327, 328, 332, 337, 338, 340, 342], "site": [2, 342], "packag": [2, 4, 288, 297, 304, 308, 317, 318, 319, 326, 327, 342], "protect": [2, 340], "cannot": [2, 94, 208, 282, 286, 288, 325, 332, 338], "modifi": [2, 46, 62, 78, 255, 279, 304], "One": [2, 17, 53, 95, 137, 261, 281, 284, 285, 293, 321, 322, 330, 340, 342], "wai": [2, 4, 9, 10, 11, 244, 245, 288, 297, 311, 314, 315, 318, 321, 322, 323, 328, 331, 335, 338], "workaround": [2, 3, 4, 284, 342], "forum": 2, "python": [2, 3, 4, 49, 93, 117, 130, 142, 148, 201, 207, 263, 280, 284, 285, 288, 292, 293, 304, 306, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "modul": [2, 4, 58, 79, 101, 106, 107, 109, 110, 113, 134, 137, 138, 159, 164, 171, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 199, 200, 214, 215, 220, 223, 233, 245, 250, 252, 261, 270, 273, 277, 282, 283, 286, 287, 288, 290, 295, 297, 298, 301, 306, 307, 308, 310, 311, 313, 315, 318, 319, 320, 323, 329, 335, 336, 337, 342, 343], "folder": [2, 4, 30, 31, 323], "181321": 2, "bootstrap": 2, "pypa": 2, "io": [2, 3, 4, 39, 95, 96, 97, 98, 263, 282, 284, 285, 286, 287, 288, 291, 315, 319, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "after": [2, 4, 73, 74, 90, 95, 105, 111, 113, 118, 119, 130, 134, 142, 204, 207, 208, 214, 219, 220, 221, 222, 223, 224, 225, 239, 241, 244, 245, 261, 263, 275, 313, 314, 315, 321, 322, 330, 333], "point": [2, 9, 10, 13, 93, 94, 100, 243, 280, 284, 285, 292, 313, 314, 315, 319, 322, 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320, 321, 322, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "is_avail": [2, 321, 326, 327, 328, 335, 342], "empti": [2, 28, 284, 313, 333, 339], "410ce96a": 2, "12": [2, 4, 26, 80, 171, 200, 207, 215, 240, 241, 267, 288, 304, 313, 314, 315, 321, 326, 327, 329, 330, 333, 336, 337, 338, 342], "true": [2, 6, 9, 10, 11, 13, 17, 39, 40, 41, 47, 56, 57, 62, 64, 65, 75, 76, 79, 82, 85, 87, 88, 90, 95, 100, 104, 105, 111, 122, 130, 142, 159, 200, 206, 213, 215, 218, 225, 238, 239, 240, 241, 242, 243, 244, 245, 248, 250, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 269, 270, 271, 272, 273, 274, 275, 280, 281, 283, 284, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 336, 337, 338, 339, 340, 341, 342], "e": [2, 3, 4, 9, 10, 11, 36, 40, 41, 42, 43, 49, 53, 55, 57, 58, 62, 63, 65, 68, 79, 81, 84, 90, 92, 93, 107, 109, 110, 130, 142, 159, 171, 176, 192, 193, 194, 198, 200, 208, 233, 239, 241, 243, 255, 261, 263, 275, 277, 280, 282, 284, 285, 286, 287, 292, 293, 298, 304, 313, 314, 318, 319, 321, 322, 323, 326, 327, 335, 336, 338, 339, 342], "pep517": [2, 3, 4], "2ead941": 2, "aarch64": [2, 3], "folllow": 3, "en": [3, 4, 36, 40, 41, 42, 43, 44, 55, 63, 67, 68, 92, 175, 259, 304, 312, 314, 325, 332, 338, 341], "miniconda": [3, 4], "select": [3, 26, 94, 100, 243, 261, 304, 307, 329, 337, 341], "version": [3, 4, 15, 28, 59, 95, 115, 121, 123, 124, 125, 210, 217, 234, 282, 286, 288, 304, 312, 323, 328, 330, 331, 339, 340, 342], "nightli": [3, 4, 312, 325, 333, 336, 341], "setup": [3, 4, 320], "due": [3, 4, 29, 130, 284, 292, 323, 328], "complex": [3, 4, 38, 64, 75, 76, 78, 82, 86, 87, 90, 130, 223, 257, 261, 266, 270, 273, 275, 279, 284, 295, 301, 304, 320, 329], "place": [3, 4, 208, 284, 292, 314, 320, 330], "pip": [3, 4, 288, 317, 318, 319, 323], "tri": [3, 4], "architectur": [3, 4, 101, 102, 103, 104, 112, 143, 144, 145, 146, 147, 148, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 195, 196, 197, 215, 219, 221, 222, 227, 228, 229, 304, 323], "your": [3, 4, 167, 168, 169, 170, 271, 294, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "those": [3, 23, 35, 47, 56, 250, 252, 314, 315, 321, 332, 338], "fail": [3, 4, 284, 292, 307, 312, 322, 331, 333, 337, 338, 341], "switch": [3, 4], "singl": [3, 4, 37, 38, 79, 94, 114, 130, 142, 245, 261, 270, 273, 284, 285, 292, 297, 315, 319, 329, 339], "must": [3, 4, 9, 10, 11, 35, 39, 47, 56, 57, 59, 62, 65, 90, 93, 94, 100, 104, 114, 118, 122, 136, 202, 207, 208, 211, 212, 213, 215, 218, 225, 230, 239, 241, 243, 250, 252, 253, 255, 263, 275, 278, 279, 280, 284, 285, 293, 298, 304, 314, 318, 326, 332, 337, 338, 339, 340, 342], "user": [3, 4, 7, 30, 31, 54, 159, 212, 282, 286, 292, 297, 307, 313, 336], "ffmpeg_root": [3, 4], "specifi": [3, 4, 9, 10, 11, 37, 75, 76, 85, 87, 95, 98, 159, 243, 269, 270, 273, 284, 285, 288, 292, 293, 307, 319, 329, 330, 331, 337, 338, 339, 340], "forg": [3, 4, 288, 323], "conda_prefix": [3, 4], "microsoft": 4, "visual": [4, 287, 313, 318, 323, 325, 328, 335, 338], "manag": [4, 285, 288], "visualstudio": 4, "section": [4, 26, 301, 304, 313, 314, 320, 327, 330, 338, 340, 342], "commun": 4, "edit": [4, 54, 332], "cl": [4, 304], "sake": [4, 66, 71, 327, 332, 335, 340], "similar": [4, 5, 36, 40, 41, 42, 43, 46, 49, 50, 55, 58, 63, 68, 77, 79, 84, 92, 93, 244, 245, 280, 285, 292, 293, 315, 319, 320, 330, 331, 338, 340, 342], "experi": [4, 330], "three": [4, 211, 212, 261, 285, 293, 297, 314, 323, 329, 332, 336, 338, 340, 342], "step": [4, 44, 59, 80, 108, 111, 118, 119, 267, 278, 297, 313, 314, 320, 321, 322, 323, 326, 327, 328, 329, 332, 335, 338, 340, 342], "prompt": [4, 342], "combin": [4, 153, 154, 155, 179, 180, 181, 182, 183, 184, 187, 188, 189, 282, 286, 312, 315, 321, 324, 327, 328, 329, 338], "known": 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56, 57, 65, 69, 70, 78, 83, 93, 95, 116, 118, 119, 148, 153, 154, 155, 156, 157, 159, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 208, 211, 220, 223, 232, 245, 247, 250, 252, 261, 277, 280, 292, 293, 297, 312, 313, 314, 318, 319, 320, 321, 322, 326, 327, 330, 335, 336, 337, 338, 340, 342], "everyth": [4, 337], "readi": [4, 284], "illustr": [4, 198, 208, 297, 318, 319, 321, 323, 324, 326, 327, 332, 337, 340, 342], "come": [4, 314, 328, 332], "major": [4, 7, 320, 330, 331], "codec": [4, 39, 94, 95, 282, 284, 285, 286, 287, 292, 293, 307, 319, 322, 323, 330, 332, 336, 337, 338], "decod": [4, 9, 54, 73, 83, 88, 100, 102, 105, 108, 111, 113, 116, 117, 118, 119, 120, 159, 161, 198, 264, 272, 282, 284, 285, 286, 287, 289, 292, 297, 307, 309, 319, 322, 323, 324, 331, 332, 334, 335, 336, 337, 338], "regular": [4, 333, 338, 340], "find": [4, 167, 168, 169, 170, 287, 292, 320, 331], "yourself": 4, "might": [4, 244, 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284, 292, 314, 319, 321, 322, 327, 338], "qe": 4, "2020": [4, 14, 22, 23, 83, 101, 113, 130, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 153, 154, 156, 157, 162, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 216, 226, 227, 228, 229, 232, 304, 336, 339], "devel": 4, "filesystem": 4, "2023": [4, 65, 158, 162, 163, 287, 304, 336], "pkgconf": 4, "succe": 4, "result": [4, 17, 35, 39, 47, 54, 56, 66, 71, 78, 83, 90, 93, 95, 100, 116, 118, 119, 126, 127, 128, 129, 130, 131, 132, 137, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 171, 173, 205, 207, 208, 210, 213, 219, 220, 221, 222, 223, 224, 225, 232, 244, 245, 247, 250, 252, 257, 275, 279, 280, 284, 285, 292, 293, 304, 312, 313, 314, 319, 320, 321, 322, 324, 325, 326, 335, 338, 341], "previou": [4, 261, 284, 315, 321, 330, 332, 335, 342], "oper": [5, 7, 8, 47, 56, 75, 130, 142, 148, 207, 208, 210, 250, 252, 261, 270, 307, 330, 338, 339], "variou": [5, 95, 105, 307, 312, 313, 324, 332, 333, 336, 340], "ident": [5, 9, 10, 11, 75, 76, 87, 211, 212, 261, 270, 273, 313, 314, 319, 326], "paramet": [5, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 160, 161, 165, 166, 167, 169, 170, 171, 172, 173, 192, 193, 194, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 226, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 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218, 220, 223, 225, 239, 240, 241, 243, 244, 245, 254, 255, 257, 258, 260, 261, 263, 266, 269, 270, 272, 273, 275, 278, 283, 284, 292, 313, 323], "fals": [9, 10, 11, 12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 40, 41, 53, 65, 79, 85, 88, 100, 101, 104, 111, 118, 130, 142, 213, 215, 239, 241, 244, 254, 257, 258, 260, 261, 263, 266, 269, 272, 275, 278, 285, 312, 313, 314, 315, 321, 322, 323, 324, 325, 326, 327, 329, 331, 332, 333, 336, 337, 339, 340, 341, 342], "low_freq": [9, 10], "20": [9, 10, 37, 77, 93, 104, 171, 200, 215, 224, 277, 280, 304, 313, 314, 320, 321, 326, 327, 328, 329, 330, 332, 336, 340, 342], "min_dur": [9, 10, 11], "num_mel_bin": [9, 10, 314], "preemphasis_coeffici": [9, 10, 11], "raw_energi": [9, 10, 11], "remove_dc_offset": [9, 10, 11], "round_to_power_of_two": [9, 10, 11], "sample_frequ": [9, 10, 11], "16000": [9, 10, 11, 23, 212, 238, 239, 242, 245, 256, 258, 260, 262, 263, 271, 277, 292, 306, 311, 314, 315, 317, 319, 322, 329, 332, 335, 336, 338], "snip_edg": [9, 10, 11, 314], "subtract_mean": [9, 10, 11], "use_energi": [9, 10], "use_log_fbank": 9, "use_pow": 9, "vtln_high": [9, 10], "500": [9, 10, 19, 20, 153, 154, 155, 167, 168, 169, 170, 179, 180, 181, 182, 183, 184, 187, 188, 189, 212, 313, 314, 320, 323], "vtln_low": [9, 10], "vtln_warp": [9, 10], "window_typ": [9, 10, 11], "str": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 39, 45, 47, 48, 53, 56, 58, 59, 64, 71, 83, 85, 90, 94, 95, 98, 99, 100, 102, 104, 105, 112, 116, 117, 118, 119, 120, 122, 123, 124, 125, 130, 134, 136, 142, 148, 161, 172, 198, 200, 202, 203, 205, 210, 215, 218, 223, 225, 238, 239, 241, 242, 243, 244, 245, 246, 248, 249, 250, 252, 253, 256, 257, 258, 260, 261, 262, 263, 269, 271, 275, 281, 282, 283, 284, 285, 286, 290, 313, 314, 320, 322, 323, 326, 327, 328, 330, 331, 335], "povei": [9, 10, 11, 304], "raw": [9, 10, 11, 90, 113, 116, 159, 237, 239, 263, 279, 282, 285, 286, 315, 319, 323, 326, 330, 331, 337, 338], "signal": [9, 10, 11, 35, 46, 51, 57, 62, 64, 65, 73, 74, 77, 81, 83, 89, 90, 91, 93, 94, 212, 238, 239, 240, 241, 242, 247, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 271, 274, 275, 276, 277, 280, 287, 304, 315, 318, 320, 328, 329, 333, 336, 338], "match": [9, 10, 11, 35, 47, 56, 88, 95, 110, 208, 250, 252, 285, 288, 293, 304, 319, 326, 330, 336, 338, 339, 340, 342], "feat": [9, 10, 11, 314, 323, 332, 335], "rang": [9, 10, 11, 46, 49, 53, 57, 58, 65, 77, 79, 100, 107, 159, 278, 283, 292, 312, 313, 314, 315, 318, 319, 320, 321, 322, 324, 325, 327, 330, 333, 337, 338, 339, 340, 341, 342], "option": [9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 68, 69, 70, 71, 75, 76, 77, 79, 80, 81, 82, 83, 85, 87, 88, 90, 91, 92, 93, 94, 95, 98, 100, 101, 102, 104, 105, 106, 107, 108, 111, 112, 113, 114, 115, 116, 118, 119, 126, 127, 128, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 171, 173, 198, 200, 203, 204, 205, 206, 210, 211, 212, 213, 214, 215, 219, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 292, 293, 319, 323, 328, 330, 331, 332, 337, 338, 339, 340], "constant": [9, 10, 11, 41, 93, 95, 104, 122, 210, 215, 225, 280, 312, 328, 332, 333], "coeffici": [9, 10, 11, 44, 45, 48, 51, 57, 65, 66, 71, 75, 76, 81, 87, 211, 212, 249, 251, 258, 260, 261, 268, 270, 273], "blackman": [9, 10, 11], "mono": [9, 10, 11], "left": [9, 10, 11, 60, 88, 104, 122, 215, 225, 272, 292, 314, 330, 332], "right": [9, 10, 11, 48, 60, 104, 107, 122, 159, 215, 225, 314, 322, 325, 330, 332, 337, 340], "turn": [9, 10, 11, 33, 37, 159, 238, 248, 262, 314, 315], "g": [9, 10, 11, 36, 40, 41, 42, 43, 49, 55, 57, 58, 62, 63, 65, 68, 79, 84, 90, 92, 93, 109, 110, 159, 198, 200, 233, 239, 241, 255, 263, 275, 280, 284, 287, 298, 304, 313, 314, 321, 326, 327, 330, 335, 337, 338, 340], "floor": [9, 10, 11, 69, 70, 211, 212], "energi": [9, 10, 11, 53, 90, 211, 212, 239, 241, 318, 340], "absolut": [9, 10, 11], "rel": [9, 10, 11, 75, 79, 86, 87, 148, 204, 270, 313, 315, 325, 329, 332], "spectrogram": [9, 10, 37, 45, 62, 64, 69, 70, 78, 88, 105, 111, 114, 159, 171, 173, 232, 233, 236, 238, 239, 240, 241, 242, 249, 254, 255, 256, 257, 258, 260, 261, 262, 263, 272, 278, 279, 297, 302, 304, 306, 311, 312, 315, 316, 317, 319, 320, 321, 329, 333, 337, 340, 341], "caution": [9, 10, 11], "appli": [9, 10, 11, 38, 39, 46, 47, 49, 50, 53, 56, 57, 58, 61, 62, 64, 66, 69, 70, 71, 75, 76, 77, 79, 80, 84, 85, 87, 88, 89, 90, 101, 104, 106, 107, 108, 113, 122, 130, 142, 164, 200, 205, 208, 213, 214, 215, 219, 220, 221, 222, 223, 225, 239, 241, 243, 244, 245, 250, 252, 254, 255, 257, 258, 261, 263, 267, 269, 270, 272, 273, 274, 275, 277, 278, 279, 284, 285, 287, 292, 293, 304, 311, 312, 318, 324, 325, 328, 330, 337, 338, 341], "zeroth": [9, 10, 11], "compon": [9, 10, 11, 159, 164, 214, 232, 233, 287, 297, 312, 313, 314, 322, 323, 328, 332, 335, 337, 341, 342], "repres": [9, 10, 11, 75, 76, 87, 101, 104, 107, 108, 116, 117, 159, 165, 166, 171, 172, 198, 199, 200, 207, 211, 212, 214, 215, 233, 270, 273, 284, 313, 315, 318, 320, 321, 327, 329, 330, 333, 335, 336, 340, 342], "individu": [9, 10, 11, 323], "element": [9, 10, 11, 35, 91, 101, 104, 107, 122, 130, 167, 168, 169, 170, 215, 225, 247, 276, 277, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 332, 333, 335, 336, 337, 340, 341, 342], "fix": [9, 10, 11, 212], "std": [9, 10, 11, 29, 292, 293, 328], "numeric_limit": [9, 10, 11], "epsilon": [9, 10, 11, 122, 218, 329, 336], "length": [9, 10, 11, 23, 35, 45, 52, 54, 59, 62, 64, 80, 85, 89, 90, 91, 94, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 122, 130, 159, 160, 171, 172, 173, 208, 212, 214, 215, 216, 218, 221, 222, 223, 225, 233, 239, 241, 247, 249, 253, 254, 255, 257, 263, 267, 269, 274, 275, 276, 277, 278, 279, 321, 322, 323, 326, 327, 328, 329, 332, 342], "millisecond": [9, 10, 11, 58, 79], "shift": [9, 10, 11, 49, 58, 80, 244, 245, 267], "cutoff": [9, 10, 37, 63, 68, 213, 320, 325], "frequenc": [9, 10, 11, 36, 38, 40, 41, 42, 43, 52, 55, 63, 66, 68, 71, 82, 83, 89, 91, 92, 102, 105, 173, 205, 206, 207, 209, 210, 211, 212, 213, 238, 239, 240, 242, 254, 256, 258, 260, 261, 262, 263, 266, 270, 271, 273, 274, 276, 277, 304, 315, 318, 320, 321, 324, 328, 329, 336, 337, 340], "mel": [9, 10, 48, 71, 111, 159, 171, 205, 232, 233, 239, 256, 260, 262, 263, 302, 304, 311], "offset": [9, 10, 49, 284, 292, 293, 320, 341], "nyquist": [9, 10, 83, 271, 312, 320, 325, 333, 341], "put": [9, 10, 288, 322, 323, 339], "last": [9, 10, 47, 51, 56, 65, 69, 70, 81, 95, 200, 250, 251, 252, 268, 314, 321, 327, 331, 337, 342], "warn": [9, 10, 282, 283, 286, 312, 340, 342], "suffici": [9, 10, 328], "htk": [9, 10, 71, 94, 256, 262, 263, 318, 319], "low": [9, 10, 104, 124, 213, 304, 322, 338, 341], "segment": [9, 10, 11, 47, 56, 104, 107, 122, 159, 215, 225, 250, 252, 319, 321, 322, 326, 332], "second": [9, 10, 11, 47, 54, 56, 65, 93, 159, 166, 211, 244, 245, 250, 252, 280, 284, 292, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "number": [9, 10, 11, 23, 26, 37, 48, 52, 59, 62, 66, 69, 70, 71, 73, 74, 78, 80, 90, 94, 95, 100, 101, 102, 103, 104, 105, 107, 108, 111, 112, 113, 114, 115, 118, 119, 122, 130, 134, 142, 148, 159, 204, 205, 206, 207, 208, 211, 212, 215, 216, 218, 220, 221, 222, 223, 225, 238, 239, 240, 241, 242, 243, 248, 255, 256, 258, 260, 262, 263, 264, 265, 267, 275, 279, 284, 285, 288, 292, 293, 297, 312, 313, 314, 315, 318, 319, 320, 322, 326, 329, 330, 331, 333, 336, 338, 340, 341], "triangular": [9, 10, 53, 58, 66, 71, 79, 205, 238, 256, 262, 263], "preemphasi": [9, 10, 11, 51], "befor": [9, 10, 11, 33, 37, 93, 100, 111, 130, 142, 159, 204, 248, 280, 284, 285, 292, 293, 294, 306, 314, 322, 323, 327, 330, 336, 339, 340], "subtract": [9, 10, 11, 208, 209, 213, 287, 312, 325, 333, 334], "each": [9, 10, 11, 30, 31, 35, 37, 51, 59, 62, 64, 66, 71, 78, 80, 81, 85, 89, 90, 101, 104, 105, 106, 107, 108, 109, 111, 113, 114, 116, 117, 118, 119, 122, 130, 142, 165, 166, 171, 172, 173, 198, 199, 200, 205, 208, 211, 214, 215, 216, 218, 220, 221, 222, 223, 225, 233, 239, 241, 254, 255, 257, 263, 267, 269, 274, 275, 278, 284, 285, 288, 292, 301, 306, 307, 313, 314, 318, 321, 322, 323, 326, 327, 328, 330, 332, 335, 337, 338, 340, 342], "round": [9, 10, 11, 320], "power": [9, 10, 11, 33, 37, 62, 75, 76, 82, 86, 87, 90, 93, 239, 241, 248, 255, 261, 263, 266, 270, 273, 275, 279, 280, 281, 284, 311, 314, 315, 317, 318, 328, 329, 332, 338, 340, 341], "two": [9, 10, 11, 31, 36, 40, 41, 42, 44, 47, 54, 56, 60, 64, 69, 70, 89, 90, 98, 116, 130, 142, 239, 241, 250, 252, 257, 261, 263, 274, 275, 284, 285, 314, 319, 320, 323, 327, 329, 335, 340], "zero": [9, 10, 11, 23, 62, 85, 111, 204, 208, 255, 269, 304, 312, 320, 321, 322, 323, 325, 327, 328, 330, 332, 333, 341], "pad": [9, 10, 11, 23, 45, 57, 64, 65, 85, 89, 90, 95, 104, 107, 111, 159, 215, 239, 241, 244, 249, 257, 263, 269, 274, 275, 322, 323, 332], "fft": [9, 10, 11, 56, 62, 64, 80, 89, 90, 105, 159, 239, 241, 252, 255, 257, 263, 267, 274, 275, 297, 325, 340], "end": [9, 10, 11, 34, 88, 93, 95, 103, 112, 116, 130, 142, 159, 208, 233, 244, 272, 280, 284, 304, 312, 315, 319, 321, 322, 323, 326, 327, 328, 329, 332, 338, 340], "effect": [9, 10, 11, 43, 46, 58, 64, 65, 75, 76, 77, 79, 87, 88, 92, 93, 95, 100, 243, 244, 245, 246, 261, 270, 272, 273, 280, 283, 284, 285, 287, 292, 317, 320, 321, 328, 332, 337], "handl": [9, 10, 11, 15, 29, 100, 243, 284, 285, 292, 307, 319, 320, 338], "fit": [9, 10, 11, 319], "depend": [9, 10, 11, 37, 48, 64, 85, 93, 100, 173, 243, 248, 257, 258, 260, 269, 280, 282, 284, 285, 286, 290, 292, 306, 308, 321, 322, 324, 326, 328, 329, 330, 332, 335, 337, 338, 339, 340, 342], "reflect": [9, 10, 11, 64, 90, 211, 212, 239, 241, 257, 263, 275, 317, 318, 320], "cm": [9, 10, 11, 325], "dimens": [9, 10, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 58, 61, 62, 63, 64, 65, 67, 68, 69, 70, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 100, 101, 102, 103, 104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 122, 130, 134, 136, 142, 200, 208, 211, 212, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 244, 245, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 279, 280, 281, 297, 321, 326, 335, 340], "log": [9, 59, 113, 119, 200, 201, 258, 260, 282, 286, 313, 315, 320, 325, 327, 331, 333], "filterbank": [9, 48, 66, 71, 205, 238, 239, 242, 256, 262, 263], "els": [9, 39, 100, 312, 313, 320, 321, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 341, 342], "linear": [9, 10, 58, 62, 66, 77, 94, 142, 179, 180, 181, 182, 183, 184, 185, 186, 187, 225, 242, 243, 253, 255, 256, 258, 304, 319, 328, 333, 340], "magnitud": [9, 62, 64, 66, 71, 89, 90, 102, 209, 239, 241, 248, 255, 257, 263, 274, 275, 304, 325, 328, 329, 340, 341], "inflect": [9, 10], "piecewis": [9, 10], "vtln": [9, 10], "warp": [9, 10], "neg": [9, 10, 37, 104, 113, 214, 215, 221, 222, 223, 248, 292, 320], "freq": [9, 10, 37, 38, 45, 52, 62, 64, 69, 70, 75, 76, 78, 82, 86, 87, 88, 90, 238, 242, 249, 255, 256, 257, 261, 262, 266, 270, 272, 273, 275, 279, 312, 318, 320, 329, 333], "factor": [9, 10, 78, 91, 105, 106, 122, 130, 216, 218, 243, 276, 277, 285, 313, 341], "applic": [9, 10, 54, 88, 116, 254, 271, 272, 278, 284, 287, 304, 307, 315, 319, 320, 321, 336, 338, 341], "vtln_map": [9, 10], "ham": [9, 10, 11, 213, 325], "han": [9, 10, 11, 304], "rectangular": [9, 10, 11, 53], "return": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 160, 161, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 281, 282, 283, 284, 285, 286, 290, 292, 306, 311, 312, 313, 314, 315, 317, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "what": [9, 10, 11, 234, 285, 293, 313, 314, 318, 321, 335, 338, 339, 342], "shape": [9, 10, 11, 35, 37, 47, 48, 51, 53, 56, 57, 59, 60, 65, 72, 75, 76, 78, 80, 81, 83, 87, 88, 91, 93, 95, 98, 100, 101, 102, 104, 105, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 160, 164, 172, 173, 201, 204, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 236, 237, 244, 245, 247, 250, 251, 252, 253, 267, 268, 270, 271, 273, 276, 277, 280, 284, 285, 292, 293, 313, 314, 315, 318, 319, 321, 328, 329, 330, 333, 335, 336, 338, 339, 340, 342], "calcul": [9, 10, 11, 54, 258, 260, 328], "_get_strid": [9, 10, 11], "asr": [9, 54, 83, 100, 104, 107, 108, 113, 116, 117, 118, 119, 120, 150, 153, 154, 159, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 200, 230, 231, 287, 289, 296, 298, 304, 309, 327, 334, 335, 337], "infer": [9, 54, 83, 94, 100, 113, 116, 117, 118, 119, 120, 122, 150, 159, 171, 198, 230, 231, 233, 234, 235, 243, 244, 267, 287, 296, 297, 298, 319, 326, 334, 342], "ctc": [9, 34, 54, 59, 72, 83, 85, 100, 113, 116, 117, 118, 119, 120, 198, 200, 269, 287, 297, 304, 326, 327, 334, 335, 336], "cepstral_lift": 10, "22": [10, 200, 207, 282, 285, 286, 304, 313, 320, 321, 326, 327, 328, 331, 335, 342], "num_cep": 10, "control": [10, 43, 46, 64, 77, 83, 90, 92, 105, 130, 142, 208, 239, 241, 257, 263, 271, 275, 284, 304, 322, 331, 340, 341], "cepstra": 10, "c0": 10, "fbank": [10, 314, 318], "padded_window_s": 11, "class": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 85, 94, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 130, 143, 144, 145, 146, 147, 159, 160, 161, 164, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 214, 215, 216, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 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140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "al": [12, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 62, 65, 76, 101, 103, 104, 106, 111, 112, 113, 114, 116, 126, 127, 128, 129, 130, 131, 132, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "2003": [12, 239, 304], "allow": [12, 19, 20, 26, 28, 46, 49, 50, 54, 58, 77, 79, 84, 93, 94, 100, 130, 171, 223, 280, 284, 285, 307, 313, 314, 315, 319, 320, 322, 330, 331, 342], "ahw": 12, "aup": 12, "awb": 12, "axb": 12, "bdl": 12, "clb": 12, "eei": 12, "fem": 12, "gka": 12, "jmk": 12, "ksp": 12, "ljm": 12, "lnh": 12, "rm": 12, "rxr": 12, "slp": 12, "slt": [12, 304], "top": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 108, 116, 142, 159, 203, 225, 292, 293, 307, 308, 313, 314, 330, 333, 336, 340], "level": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 54, 93, 203, 204, 211, 280, 282, 283, 285, 286, 292, 293, 307, 308, 322, 326, 333, 338], "whether": [12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 64, 90, 116, 118, 130, 142, 216, 220, 223, 239, 241, 254, 257, 258, 260, 263, 275, 278, 313], "tupl": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 59, 91, 100, 101, 104, 106, 107, 108, 111, 113, 114, 116, 130, 142, 148, 160, 172, 173, 198, 200, 203, 214, 215, 216, 226, 244, 245, 276, 277, 282, 284, 286, 290, 319], "th": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 38, 64, 90, 101, 104, 107, 203, 207, 215, 239, 241, 257, 263, 270, 273, 275, 304, 314], "rate": [12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 78, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 105, 123, 124, 125, 159, 164, 165, 166, 173, 198, 199, 200, 203, 205, 206, 210, 212, 216, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 256, 258, 259, 260, 262, 263, 267, 274, 279, 280, 284, 285, 292, 293, 297, 312, 315, 316, 317, 318, 319, 320, 321, 322, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 339, 341, 342], "transcript": [12, 16, 19, 21, 22, 27, 28, 29, 107, 108, 122, 159, 181, 184, 198, 201, 202, 218, 313, 314, 322, 323, 327, 332], "utter": [12, 15, 18, 19, 20, 22, 26, 29, 31, 88, 104, 215, 272, 315], "exclude_punctu": 13, "svn": 13, "sf": 13, "net": [13, 36, 40, 41, 42, 43, 46, 49, 50, 58, 77, 79, 84, 92, 93, 243, 280, 283, 304, 336], "p": [13, 69, 70, 102, 171, 198, 200, 278, 284, 287, 304, 313, 314, 321, 322, 323, 326, 327, 335, 336, 342], "cmusphinx": 13, "trunk": 13, "7b": 13, "url_symbol": 13, "pronounc": 13, "dictionari": [13, 14, 118, 165, 166, 171, 198, 199, 200, 233, 290, 297, 304, 321, 327, 335, 337], "weid": [13, 304], "1998": [13, 304], "exclud": [13, 298], "pronounci": 13, "punctuat": [13, 326], "exclam": 13, "hash": 13, "mark": [13, 304, 306], "phonem": [13, 28, 168, 170, 171, 288, 297, 321], "aa": [13, 282, 286], "ae": 13, "ah": [13, 171, 342], "word": [13, 28, 54, 116, 117, 118, 158, 202, 313, 314, 318, 326, 335], "tsv": 14, "train": [14, 15, 16, 17, 19, 20, 23, 24, 26, 27, 28, 30, 102, 104, 105, 106, 107, 111, 112, 114, 130, 142, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 214, 215, 221, 222, 223, 230, 231, 232, 233, 234, 235, 287, 295, 297, 301, 304, 313, 314, 315, 319, 321, 326, 327, 328, 332, 335, 336, 342], "ardila": [14, 191, 192, 193, 194, 304], "present": [14, 284, 285, 292, 293, 314, 320, 321, 323, 340], "construct": [14, 118, 149, 150, 151, 152, 159, 162, 163, 164, 165, 166, 198, 199, 200, 230, 231, 232, 233, 235, 292, 293, 295, 301, 321, 325, 330, 335, 337], "invalid": [14, 284], "valid": [14, 16, 17, 24, 26, 27, 28, 35, 47, 56, 91, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 120, 130, 134, 142, 171, 172, 173, 208, 210, 214, 215, 243, 246, 247, 250, 252, 256, 276, 277, 283, 284, 285, 292, 338, 342], "dict": [14, 28, 116, 200, 239, 241, 242, 255, 257, 258, 260, 263, 267, 274, 275, 282, 283, 284, 285, 286, 328], "client_id": 14, "sentenc": [14, 54, 111, 116], "up_vot": 14, "down_vot": 14, "ag": [14, 314], "gender": 14, "accent": 14, "subset": [15, 16, 17, 22, 23, 24, 25, 26, 27, 28, 30, 164, 174, 175, 176, 177, 178, 179, 180, 182, 183, 185, 186, 203, 304, 306], "datashar": [15, 29], "ed": [15, 29, 314], "ac": [15, 29, 30, 31, 282, 286, 338], "uk": [15, 29, 30, 31, 333], "10283": [15, 29], "3038": 15, "dr": 15, "vctk": [15, 29, 304], "zip": [15, 29, 30, 31, 245, 313, 318, 320, 321, 324, 325, 326, 327, 328, 330, 331, 342], "record": [15, 49, 93, 211, 280, 304, 315, 332, 337], "small": [15, 65, 219, 221, 271, 304, 314, 320, 322, 325, 327], "sarfjoo": [15, 304], "yamagishi": [15, 29, 163, 304], "2018": [15, 26, 27, 111, 114, 211, 212, 304, 338], "noisi": [15, 38, 261, 315], "speaker": [15, 16, 18, 19, 20, 22, 23, 26, 27, 28, 29, 30, 31, 285, 304, 339, 340], "fluent": 16, "speech": [16, 21, 26, 29, 35, 75, 76, 83, 86, 87, 93, 100, 101, 102, 103, 104, 109, 110, 111, 112, 113, 114, 158, 159, 165, 166, 167, 168, 169, 170, 171, 191, 198, 203, 215, 219, 221, 222, 232, 255, 257, 261, 263, 266, 270, 271, 273, 275, 277, 280, 287, 288, 304, 313, 314, 317, 321, 322, 323, 327, 332, 334], "lugosch": [16, 304], "action": 16, "filepath": [16, 18, 19, 25, 26, 27, 30, 31, 203], "otherwis": [16, 18, 19, 25, 26, 27, 30, 31, 39, 57, 62, 65, 69, 70, 85, 91, 94, 95, 100, 130, 142, 203, 206, 208, 210, 213, 240, 241, 243, 244, 255, 269, 276, 277, 284, 285, 292, 293, 328], "field": [16, 18, 19, 25, 26, 27, 30, 31, 203, 313], "opihi": 17, "uvic": 17, "ca": [17, 314], "genr": [17, 304], "none": [17, 18, 24, 25, 26, 27, 35, 37, 39, 48, 49, 59, 62, 64, 71, 75, 78, 80, 82, 83, 85, 90, 91, 93, 94, 95, 98, 100, 104, 106, 107, 108, 111, 113, 114, 116, 118, 120, 122, 126, 127, 128, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 165, 166, 171, 173, 198, 199, 200, 204, 206, 210, 212, 214, 215, 224, 225, 233, 238, 239, 240, 241, 242, 243, 244, 247, 248, 255, 256, 257, 258, 260, 261, 262, 263, 266, 267, 269, 271, 274, 275, 276, 277, 279, 280, 284, 285, 292, 293, 312, 313, 315, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333], "tzanetaki": [17, 304], "2001": [17, 304], "marsya": 17, "info": [17, 73, 74, 264, 265, 282, 286, 287, 319], "plan": [17, 307, 319], "publish": [17, 153, 154, 155, 156, 157, 158, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 232, 332, 342], "octob": 17, "current": [17, 44, 59, 88, 93, 98, 104, 107, 108, 114, 116, 204, 211, 215, 272, 280, 284, 285, 307, 308, 327, 330, 336], "connect": [17, 114, 284], "error": [17, 53, 65, 210, 282, 285, 286, 292, 293, 306, 321, 322, 329, 331, 336, 338], "entir": [17, 113, 288, 308, 324, 328], "label": [17, 18, 26, 27, 30, 31, 32, 59, 85, 106, 113, 116, 117, 130, 198, 200, 269, 297, 306, 313, 316, 318, 320, 321, 325, 335, 341], "session": 18, "utterance_typ": 18, "busso": [18, 304], "2008": [18, 304], "improvis": 18, "both": [18, 39, 64, 85, 90, 150, 152, 211, 230, 231, 239, 241, 257, 263, 269, 275, 292, 293, 313, 320, 322, 323, 329, 330, 331, 332, 338], "neu": 18, "hap": 18, "ang": 18, "sad": [18, 313, 332], "exc": 18, "fru": 18, "panayotov": [19, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 304], "2015": [19, 25, 62, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 203, 255, 277, 304], "dowload": [19, 20, 26], "360": [19, 20, 23, 153, 154, 155, 179, 180, 181, 182, 183, 184, 187, 188, 189, 330, 331, 337, 338, 339], "chapter": [19, 20, 22], "zen": [20, 304], "origin": [20, 26, 62, 64, 83, 91, 114, 125, 130, 137, 138, 142, 151, 152, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 208, 232, 234, 254, 255, 257, 271, 276, 277, 278, 279, 285, 313, 317, 318, 320, 321, 323, 327, 328, 329, 330, 332, 338, 340, 342], "text": [20, 29, 35, 38, 45, 51, 59, 60, 64, 75, 76, 81, 90, 111, 114, 159, 161, 167, 168, 169, 170, 171, 172, 212, 232, 233, 239, 241, 255, 257, 261, 263, 270, 273, 275, 287, 288, 304, 312, 313, 314, 321, 323, 326, 334, 340], "normal": [20, 21, 48, 52, 54, 57, 60, 64, 65, 71, 82, 88, 90, 100, 108, 122, 130, 142, 198, 199, 202, 206, 218, 223, 238, 239, 240, 241, 242, 244, 245, 248, 253, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 271, 272, 274, 275, 280, 281, 304, 312, 315, 323, 327, 328, 333, 339, 340, 341], "keithito": [21, 304], "bz2": 21, "wav": [21, 27, 30, 31, 39, 95, 100, 137, 138, 171, 233, 238, 239, 240, 241, 242, 243, 244, 245, 248, 253, 256, 258, 259, 260, 262, 263, 264, 265, 267, 271, 272, 274, 275, 280, 281, 285, 313, 314, 315, 317, 318, 319, 321, 324, 326, 327, 328, 329, 335, 336, 337, 338, 339, 340], "ito": [21, 167, 168, 169, 170, 232, 304], "johnson": [21, 167, 168, 169, 170, 232, 304], "2017": [21, 30, 31, 167, 168, 169, 170, 232, 234, 235, 236, 261, 292, 304], "10min": [22, 180, 183, 186], "libri": [22, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 304], "light": [22, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 290, 304, 314], "kahn": [22, 116, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 287, 304], "hubert": [22, 106, 126, 127, 128, 129, 131, 132, 137, 153, 154, 155, 156, 157, 224, 225, 304, 335], "hsu": [22, 106, 126, 127, 128, 129, 131, 132, 153, 154, 155, 156, 157, 304], "2021": [22, 65, 104, 105, 106, 126, 127, 128, 129, 131, 132, 143, 144, 145, 151, 152, 153, 154, 155, 156, 157, 163, 174, 175, 176, 177, 178, 192, 193, 194, 196, 197, 230, 287, 304, 321, 328, 333], "supervis": [22, 110, 136, 219, 221, 222, 287, 304, 335], "tune": [22, 106, 113, 137, 142, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 200, 206, 212, 224, 225, 240, 241, 335], "1h": 22, "10h": 22, "num_speak": 23, "sample_r": [23, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 79, 80, 84, 89, 92, 93, 94, 95, 98, 114, 171, 205, 206, 210, 212, 237, 238, 239, 240, 241, 242, 243, 244, 245, 248, 253, 256, 258, 259, 260, 262, 263, 264, 265, 267, 271, 272, 274, 275, 280, 281, 284, 285, 292, 293, 298, 311, 312, 313, 314, 315, 316, 318, 319, 320, 321, 322, 323, 324, 326, 327, 328, 329, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "8000": [23, 210, 212, 244, 245, 284, 306, 311, 315, 319, 337, 338, 340], "task": [23, 30, 31, 219, 221, 222, 295, 297, 301, 304, 323, 326, 335, 336], "sep_clean": 23, "mode": [23, 40, 45, 47, 56, 64, 107, 108, 111, 130, 142, 148, 249, 250, 252, 257, 284, 292, 307, 319, 330, 336, 337], "cosentino": [23, 149, 304], "libri2mix": [23, 149, 164], "libri3mix": 23, "store": [23, 53, 116, 117, 292, 313, 327, 328, 330], "Not": 23, "determin": [23, 216, 261, 285, 293, 313, 314, 315, 318, 320, 338], "travers": [23, 327], "s1": 23, "sn": 23, "subdirectori": 23, "ha": [23, 39, 66, 71, 74, 100, 125, 171, 244, 245, 265, 283, 284, 285, 288, 292, 293, 307, 314, 315, 318, 319, 320, 321, 323, 325, 327, 328, 330, 333, 335, 337, 338, 339, 340, 342], "rais": [23, 284, 306, 312, 333, 336, 338, 341], "valueerror": 23, "enh_singl": 23, "enh_both": 23, "sep_noisi": 23, "mixtur": [23, 24, 105, 164, 304, 328], "maximum": [23, 37, 66, 69, 70, 71, 100, 104, 107, 108, 111, 119, 122, 148, 204, 205, 212, 215, 225, 238, 239, 242, 248, 254, 256, 258, 260, 262, 263, 278, 285, 313, 314, 327, 338], "manual": [23, 239, 340, 342], "jorisco": 23, "mix": [23, 105, 328], "split": [24, 37, 102, 105, 171, 208, 248, 258, 260, 313, 314, 321, 326, 337, 340], "rafii": [24, 151, 152, 304], "bass": [24, 43, 105, 328, 333], "drum": [24, 105, 328], "vocal": [24, 105, 328], "consist": [24, 25, 35, 118, 174, 175, 176, 177, 178, 258, 260, 297, 313, 314, 323, 338], "track": 24, "occur": [24, 118, 321, 327, 335], "respect": [24, 26, 30, 105, 211, 212, 261, 284, 328], "num": [24, 106, 113], "languag": [25, 116, 118, 120, 158, 174, 175, 176, 177, 178, 192, 193, 194, 287, 304, 321, 326, 335, 336, 338], "nnenglish": 25, "miro": [25, 304], "eval": [25, 313, 314, 323, 342], "albanian": 25, "basqu": 25, "czech": 25, "romanian": 25, "slovak": 25, "speech_commands_v0": 26, "02": [26, 49, 244, 312, 313, 315, 316, 321, 328, 333, 334, 336, 342], "warden": [26, 304], "whole": [26, 61, 95, 100, 243, 314, 322, 342], "defin": [26, 75, 76, 85, 89, 212, 244, 245, 269, 270, 273, 274, 284, 292, 293, 297, 302, 311, 312, 313, 315, 318, 320, 322, 323, 326, 330, 331, 333, 335, 336, 337, 339, 340, 342], "validation_list": 26, "txt": [26, 30, 31, 118, 119, 313, 326], "testing_list": 26, "rest": [26, 327, 333, 340], "explain": [26, 58, 79, 315, 321, 332, 335], "readm": 26, "introduct": [26, 319], "paper": [26, 102, 115, 130, 142, 232, 287, 304, 313, 314, 321, 329, 335, 342], "audio_format": 27, "mp3": [27, 94, 95, 100, 235, 243, 285, 292, 319, 332, 338, 340], "couck": [27, 304], "insid": 27, "outsid": [27, 85, 269], "begin": [27, 208, 307, 312, 319, 321, 327, 338], "iob": 27, "intent": 27, "release1": 28, "audio_ext": [28, 29], "sph": [28, 319], "rousseau": [28, 231, 304], "2012": [28, 85, 231, 269, 304], "release2": 28, "release3": 28, "some": [28, 29, 83, 261, 271, 285, 288, 292, 295, 301, 307, 311, 312, 313, 314, 315, 320, 321, 322, 328, 329, 331, 333, 338, 339, 341], "talk": [28, 314, 315, 322], "identifi": [28, 284], "mic_id": 29, "mic2": 29, "3443": 29, "corpu": [29, 304, 327], "92": [29, 171, 304, 312, 313, 321, 326, 327, 328, 331, 342], "flac": [29, 94, 100, 243, 285, 319, 326], "microphon": [29, 211, 212, 284, 287, 292, 315, 322, 323, 337, 338], "mic1": 29, "convert": [29, 33, 37, 95, 100, 113, 159, 168, 170, 171, 213, 232, 233, 237, 240, 244, 248, 261, 284, 285, 293, 311, 313, 318, 321, 326, 330, 337, 338, 340, 342], "non": [29, 35, 77, 83, 100, 102, 104, 107, 109, 110, 115, 122, 150, 159, 163, 215, 219, 221, 222, 230, 231, 284, 285, 287, 292, 298, 304, 306, 314, 321, 322, 326, 333, 334, 340, 341], "p315": 29, "skip": [29, 100, 119, 130], "lack": [29, 284], "p280": 29, "p362": 29, "meta_url": [30, 31], "robot": [30, 31], "ox": [30, 31], "vgg": [30, 31], "voxceleb": [30, 31, 304], "meta": [30, 31, 152, 297], "iden_split": 30, "voxceleb1": [30, 31], "nagrani": [30, 31, 304], "identif": [30, 304], "row": [30, 31, 48, 314, 320, 330], "file_path": 30, "id10006": 30, "nlebbc9oif": 30, "00003": 30, "subest": 30, "structur": [30, 31, 291, 295, 301, 332], "speaker_id": [30, 31], "who": [30, 31, 314, 321, 331, 332], "vox1_dev_wav": [30, 31], "vox1_test_wav": [30, 31], "veri_test": 31, "verif": 31, "pair": [31, 35, 288, 314, 320], "indic": [31, 49, 69, 70, 106, 113, 114, 116, 208, 214, 245, 254, 278, 284, 285, 292, 293, 306, 313, 314, 335, 337, 338, 342], "file_path1": 31, "file_path2": 31, "id10270": 31, "x6uyqmx31k": 31, "00001": 31, "8jeajg6segi": 31, "00008": 31, "openslr": [32, 304], "resourc": [32, 284, 285, 292, 304, 335, 338], "waves_yesno": 32, "x": [33, 35, 37, 44, 47, 51, 56, 60, 66, 71, 74, 78, 81, 102, 103, 109, 112, 171, 198, 200, 205, 216, 240, 248, 250, 252, 265, 287, 313, 314, 320, 321, 323, 326, 327, 330, 331, 335, 336, 337, 340, 342], "decibel": [33, 37, 61, 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"one": [1, 2, 3, 4, 7, 15, 18, 44, 47, 56, 69, 70, 75, 76, 87, 88, 94, 100, 102, 104, 105, 106, 107, 109, 113, 116, 122, 136, 200, 207, 208, 214, 215, 216, 218, 225, 232, 233, 243, 244, 250, 252, 253, 261, 270, 271, 272, 273, 284, 285, 288, 292, 293, 313, 314, 318, 319, 320, 321, 324, 326, 327, 330, 331, 332, 335, 337, 340, 341], "n11": 1, "tag": [1, 7, 292, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "git": [1, 2, 3, 4], "clone": [1, 2, 4, 304, 327], "videolan": 1, "org": [1, 3, 4, 32, 36, 40, 41, 42, 43, 44, 50, 55, 57, 63, 68, 84, 92, 95, 159, 165, 166, 233, 248, 284, 285, 288, 304, 308, 312, 313, 319, 322, 324, 325, 326, 332, 333, 335, 336, 337, 338, 339, 341, 342], "nv": 1, "cd": [1, 2, 3, 4, 50], "checkout": [1, 4], "10": [1, 9, 10, 11, 35, 37, 52, 58, 82, 101, 105, 114, 119, 128, 129, 130, 131, 142, 159, 169, 170, 171, 180, 183, 186, 196, 197, 200, 207, 211, 215, 243, 244, 271, 284, 285, 288, 292, 304, 312, 313, 314, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 332, 333, 334, 335, 336, 337, 338, 340, 341, 342], "sudo": [1, 2], "locat": [1, 3, 4, 14, 16, 288, 319, 323, 327, 328, 340], "chang": [1, 7, 9, 10, 39, 78, 100, 105, 115, 200, 243, 244, 245, 279, 280, 282, 283, 284, 285, 286, 292, 293, 298, 304, 307, 315, 318, 319, 325, 327, 328, 330, 331, 337, 338, 340, 341, 342], "prefix": [1, 2, 282, 286], "desired_directori": 1, "remot": [1, 338], "enumer": [1, 164, 318, 321, 327, 330, 331, 332, 335, 338, 342], "object": [1, 16, 94, 100, 109, 120, 137, 138, 148, 159, 165, 166, 171, 198, 199, 200, 233, 239, 241, 243, 244, 245, 255, 257, 263, 267, 274, 275, 284, 285, 287, 292, 293, 307, 318, 321, 322, 329, 335, 342], "819": 1, "done": [1, 64, 284, 297, 327, 336], "count": [1, 314], "100": [1, 9, 10, 19, 20, 23, 43, 46, 58, 77, 88, 108, 128, 153, 154, 155, 159, 164, 165, 166, 171, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 198, 199, 200, 221, 222, 233, 239, 255, 257, 272, 282, 286, 313, 314, 315, 316, 319, 320, 321, 322, 324, 325, 327, 328, 329, 330, 331, 332, 335, 336, 340, 342], "compress": [1, 39, 46, 91, 95, 105, 243, 276, 277, 284, 285, 319], "697": 1, "total": [1, 9, 10, 11, 118, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342], "delta": [1, 45, 249, 320, 325], "439": 1, "reus": [1, 83], "receiv": [1, 112, 338, 339], "156": [1, 321, 327], "42": [1, 9, 10, 11, 159, 304, 313, 321, 327, 328, 335, 336, 338], "kib": 1, "410": 1, "resolv": [1, 314, 321], "out": [1, 4, 105, 253, 271, 294, 311, 314, 320, 322, 323, 327, 328, 332, 342], "detach": [1, 321, 326, 327, 328, 342], "head": [1, 101, 104, 122, 130, 134, 142, 215, 218, 220, 223, 225, 314], "state": [1, 104, 107, 108, 116, 159, 215, 284, 310, 313, 322, 323, 332, 343], "experiment": 1, "commit": [1, 7], "discard": [1, 284], "ani": [1, 23, 93, 280, 284, 290, 292, 314, 319, 321, 332, 337], "impact": 1, "branch": [1, 105, 109], "anoth": [1, 271, 314, 320, 326, 328, 332], "If": [1, 3, 4, 9, 10, 11, 17, 18, 23, 24, 25, 27, 33, 35, 37, 39, 40, 41, 54, 57, 64, 65, 71, 75, 76, 79, 80, 82, 85, 87, 88, 90, 91, 94, 95, 98, 100, 106, 108, 111, 113, 114, 116, 118, 119, 130, 142, 171, 200, 206, 207, 208, 210, 211, 212, 213, 214, 220, 223, 225, 238, 240, 241, 243, 244, 256, 257, 261, 262, 263, 266, 267, 269, 270, 271, 272, 273, 275, 276, 277, 279, 281, 284, 285, 287, 288, 292, 293, 294, 306, 307, 308, 313, 319, 322, 323, 327, 330, 332, 335, 337, 338, 340], "want": [1, 3, 4, 54, 93, 280, 294, 306, 308, 314, 322, 326, 335, 338, 340], "creat": [1, 9, 10, 11, 23, 48, 62, 64, 66, 71, 80, 90, 116, 171, 200, 205, 206, 209, 213, 239, 241, 245, 255, 257, 258, 260, 263, 267, 274, 275, 288, 290, 313, 320, 321, 322, 323, 325, 328, 330, 332, 333, 340, 341, 342], "new": [1, 4, 83, 95, 116, 245, 301, 307, 314, 321, 331], "retain": [1, 48, 258, 260, 271], "mai": [1, 7, 37, 54, 62, 93, 94, 100, 167, 168, 169, 170, 248, 255, 258, 260, 261, 271, 280, 282, 284, 286, 292, 306, 313, 314, 319, 322, 329, 332, 338, 340], "do": [1, 3, 4, 9, 10, 11, 267, 284, 294, 304, 308, 314, 319, 322, 326, 328, 330, 331, 332, 333, 337, 338], "now": [1, 2, 4, 244, 282, 286, 312, 313, 314, 320, 321, 326, 327, 330, 331, 333, 335, 338, 339, 340], "b": [1, 59, 62, 67, 101, 102, 104, 107, 118, 119, 198, 200, 215, 255, 259, 284, 285, 304, 313, 314, 315, 316, 319, 321, 324, 326, 327, 328, 329, 330, 332, 335, 336, 337, 340, 342], "command": [1, 2, 4, 16, 26, 243, 244, 245, 284, 285, 292, 293, 304, 315, 322, 326, 330, 338, 339, 340, 342], "again": [1, 292, 314, 318, 332, 335, 339], "exampl": [1, 6, 30, 31, 45, 59, 69, 72, 78, 95, 101, 104, 111, 112, 114, 116, 118, 119, 137, 138, 159, 164, 165, 166, 167, 168, 169, 170, 171, 198, 199, 200, 204, 207, 215, 232, 233, 235, 237, 238, 239, 240, 241, 242, 244, 245, 246, 248, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 267, 269, 271, 272, 274, 275, 277, 278, 279, 280, 281, 282, 284, 285, 286, 288, 290, 292, 293, 294, 297, 304, 306, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 339, 341, 342], "315ad74": 1, "add": [1, 2, 4, 9, 10, 35, 75, 76, 82, 88, 105, 207, 244, 245, 247, 253, 266, 267, 270, 272, 273, 284, 285, 293, 312, 313, 315, 322, 328, 330, 340, 342], "cumemcpi": 1, "sed": [1, 313], "usr": [1, 2], "local": [1, 2, 3, 4, 288, 308, 312, 319, 320, 325, 328, 333, 341], "ffnvcodec": 1, "pc": 1, "0755": 1, "d": [1, 2, 32, 59, 104, 105, 107, 108, 151, 152, 159, 171, 198, 200, 208, 212, 215, 287, 290, 304, 313, 314, 321, 324, 326, 327, 333, 335, 339, 340, 342], "includ": [1, 2, 4, 10, 18, 27, 59, 93, 130, 142, 214, 280, 284, 292, 313, 314, 319, 321, 326, 328], "0644": 1, "h": [1, 38, 75, 102, 171, 198, 200, 261, 270, 273, 284, 285, 292, 293, 304, 313, 314, 321, 324, 325, 326, 327, 330, 335, 336, 337, 338, 342], "lib": [1, 2, 4, 324, 342], "pkgconfig": 1, "next": [1, 159, 313, 314, 321, 322, 323, 325, 326, 327, 328, 330, 332, 333, 335, 337, 340], "dure": [1, 106, 108, 130, 142, 214, 285, 292, 297, 306, 332], "minimum": [1, 9, 10, 11, 23, 37, 66, 71, 75, 76, 88, 130, 205, 223, 238, 239, 242, 248, 256, 258, 261, 262, 263, 270, 272, 273, 329, 330, 340], "yasm": [1, 4], "addition": [1, 284, 297, 320, 333], "h264": [1, 284, 285, 330, 338], "protocol": [1, 282, 285, 286, 293, 307], "which": [1, 2, 4, 6, 17, 18, 22, 23, 33, 47, 56, 69, 70, 91, 94, 95, 105, 109, 110, 111, 114, 122, 142, 165, 166, 171, 198, 199, 200, 204, 210, 211, 212, 216, 218, 225, 232, 233, 250, 252, 256, 264, 276, 277, 282, 283, 284, 285, 286, 288, 290, 292, 293, 297, 307, 312, 313, 314, 315, 317, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 337, 338, 339, 340, 341, 342], "verifi": [1, 2, 306], "apt": [1, 2], "qq": 1, "updat": [1, 2, 4, 261, 327], "y": [1, 35, 38, 44, 47, 51, 56, 60, 81, 198, 200, 250, 252, 261, 270, 273, 284, 287, 304, 313, 314, 318, 320, 321, 326, 327, 330, 332, 335, 336, 337], "libx264": [1, 2, 282, 286, 331, 340], "dev": [1, 2, 14, 19, 20, 23, 25, 28, 30], "libgnutls28": 1, "omit": [1, 284, 338], "breviti": 1, "strip": [1, 2, 313, 326], "libavutil": [1, 2, 282, 286, 288, 324, 330, 331, 340], "share": [1, 2, 282, 286, 297], "set": [1, 3, 4, 9, 10, 11, 17, 23, 24, 44, 62, 75, 76, 85, 87, 93, 95, 102, 115, 118, 122, 151, 152, 164, 168, 208, 212, 218, 255, 261, 269, 270, 273, 280, 282, 283, 284, 285, 286, 288, 292, 293, 297, 304, 307, 312, 318, 320, 325, 326, 327, 328, 331, 333, 335, 337, 338, 339, 342], "up": [1, 2, 4, 78, 98, 103, 119, 207, 208, 277, 279, 284, 304, 307, 312, 315, 318, 319, 322, 323, 327, 332, 335], "amd64": 1, "152": [1, 321, 327], "2854": 1, "gite9a5903": 1, "3": [1, 18, 28, 30, 70, 78, 79, 87, 102, 111, 120, 130, 142, 159, 200, 207, 211, 212, 216, 221, 222, 231, 243, 282, 283, 284, 285, 286, 288, 292, 304, 307, 311, 312, 313, 314, 316, 317, 318, 320, 321, 324, 325, 326, 327, 330, 331, 333, 335, 337, 338, 340, 342], "2build1": 1, "libunbound2": 1, "1ubuntu2": 1, "libp11": 1, "kit": 1, "23": [1, 9, 10, 171, 174, 175, 176, 177, 178, 200, 260, 304, 313, 321, 326, 327, 328, 331, 332, 334, 336, 342], "9": [1, 165, 200, 207, 277, 279, 285, 288, 304, 312, 313, 314, 315, 316, 317, 318, 321, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 340, 341, 342], "2ubuntu0": 1, "libtasn1": 1, "libgnutlsxx28": 1, "18": [1, 200, 207, 233, 304, 313, 315, 321, 326, 327, 328, 330, 331, 334, 336, 337, 342], "1ubuntu1": 1, "libgnutl": 1, "dane0": 1, "openssl27": 1, "libgmpxx4ldbl": 1, "dfsg": 1, "libidn2": 1, "1ubuntu0": 1, "libgmp": 1, "nettl": 1, "0ubuntu0": [1, 2], "trigger": [1, 93, 280, 284, 340], "man": [1, 314, 332], "db": [1, 33, 35, 43, 55, 58, 61, 77, 79, 92, 244, 247, 258, 260, 281, 329, 336, 341], "8": [1, 2, 4, 75, 76, 95, 100, 102, 104, 105, 114, 124, 128, 129, 131, 169, 170, 200, 207, 215, 242, 243, 269, 270, 273, 282, 284, 286, 288, 292, 304, 311, 312, 313, 314, 319, 321, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 335, 337, 338, 340, 341, 342], "libc": 1, "bin": [1, 2, 4, 9, 10, 38, 62, 71, 78, 80, 90, 105, 111, 114, 118, 173, 205, 206, 211, 238, 239, 240, 241, 242, 255, 256, 257, 262, 263, 267, 270, 273, 274, 275, 282, 286, 297, 304, 313, 318, 326], "27": [1, 171, 200, 304, 313, 314, 321, 326, 327, 332, 333, 336, 338, 342], "3ubuntu1": 1, "download": [1, 2, 4, 6, 12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 120, 159, 165, 166, 171, 198, 199, 200, 233, 235, 288, 294, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "sourc": [1, 2, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 151, 152, 153, 154, 155, 156, 157, 159, 164, 165, 166, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 290, 292, 304, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 339, 340, 341, 342], "wget": [1, 2], "q": [1, 36, 40, 41, 42, 43, 55, 63, 68, 92, 198, 200, 304, 313, 314, 321, 322, 323, 326, 327, 335, 339, 341], "archiv": 1, "ref": [1, 33, 328], "n4": [1, 288], "tar": [1, 17, 21, 32, 319], "gz": [1, 17, 32, 319], "xf": 1, "provid": [1, 2, 3, 4, 64, 95, 100, 106, 113, 114, 116, 130, 142, 159, 165, 166, 171, 198, 199, 200, 214, 220, 223, 225, 233, 243, 244, 261, 271, 279, 284, 285, 287, 292, 293, 295, 298, 301, 307, 313, 314, 315, 316, 318, 319, 320, 321, 322, 324, 327, 328, 330, 331, 335, 336, 337, 338, 339, 340, 342], "flag": [1, 7], "like": [1, 3, 4, 7, 94, 100, 158, 165, 166, 207, 233, 243, 244, 283, 284, 285, 297, 306, 307, 313, 314, 315, 320, 326, 330, 331, 335, 342], "l": [1, 35, 47, 56, 59, 102, 116, 117, 171, 198, 200, 247, 250, 252, 304, 313, 314, 321, 325, 326, 327, 335, 342], "lib64": 1, "let": [1, 284, 285, 292, 314, 315, 318, 321, 325, 326, 327, 330, 331, 333, 335, 338, 341], "know": [1, 314, 319, 330, 331, 338], "where": [1, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 38, 45, 47, 56, 59, 62, 69, 70, 75, 76, 87, 95, 100, 116, 117, 203, 208, 211, 212, 216, 233, 250, 252, 255, 261, 270, 273, 275, 279, 284, 285, 293, 312, 313, 314, 319, 320, 327, 330, 333, 336, 338], "nvcc": 1, "75": [1, 46, 313, 314, 321, 324, 327, 337, 342], "script": [1, 4, 18, 149, 150, 167, 168, 169, 170, 230, 231, 245, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "sampl": [1, 2, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 69, 70, 71, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 108, 111, 114, 123, 124, 125, 159, 164, 165, 166, 172, 173, 198, 199, 200, 203, 205, 206, 210, 212, 214, 221, 222, 223, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 254, 256, 258, 259, 260, 262, 263, 267, 274, 277, 278, 280, 284, 285, 292, 293, 297, 313, 314, 315, 316, 318, 319, 320, 322, 328, 332, 333, 335, 338, 339, 340, 342], "By": [1, 2, 3, 4, 100, 258, 260, 318, 319, 320, 330, 337, 338, 339, 340, 341], "old": [1, 284, 292, 314, 338], "30": [1, 52, 58, 78, 171, 313, 314, 315, 321, 323, 327, 328, 330, 337, 338, 340, 342], "longer": [1, 320, 328], "correct": [1, 94, 243, 282, 286, 288, 306, 319, 327], "ccap": 1, "extra": [1, 2, 9, 10, 131, 132, 142, 152, 154, 157, 179, 180, 181, 182, 183, 184, 185, 186, 187, 225, 307, 321, 328, 331, 336], "cflag": 1, "ldflag": 1, "nvccflag": 1, "gencod": 1, "arch": [1, 2, 282, 286], "compute_": 1, "sm_": 1, "o2": 1, "aac": [1, 282, 286, 338, 339], "h264_cuvid": [1, 284, 292, 330], "rawvideo": [1, 323, 337], "indev": [1, 322, 337], "lavfi": [1, 282, 286, 292, 330, 331, 337, 339], "h264_nvenc": [1, 285, 293, 331], "demux": [1, 282, 284, 286, 339], "mov": [1, 340], "muxer": [1, 282, 285, 286, 293, 339, 340], "mp4": [1, 285, 292, 307, 330, 331, 337, 338, 339, 340], "filter": [1, 2, 36, 40, 41, 42, 44, 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56, 91, 100, 101, 208, 220, 223, 244, 252, 271, 276, 277, 284, 285, 292, 313, 314, 320, 321, 322, 330, 331, 332, 335, 340], "expect": [1, 7, 9, 10, 11, 37, 62, 73, 74, 78, 98, 118, 119, 122, 134, 159, 165, 166, 173, 198, 199, 200, 235, 255, 264, 279, 284, 285, 293, 313, 322, 326, 328, 331, 332, 335, 338, 340, 342], "get_build_config": [1, 2], "get_vers": [1, 324, 330, 331, 340], "get": [1, 2, 3, 4, 9, 10, 16, 18, 19, 23, 25, 26, 27, 30, 31, 94, 116, 200, 203, 244, 246, 261, 282, 283, 284, 286, 288, 292, 308, 312, 313, 314, 318, 319, 320, 321, 322, 323, 325, 329, 333, 335, 336, 338, 339, 340, 341], "inform": [1, 4, 94, 165, 166, 171, 198, 199, 200, 210, 233, 282, 284, 286, 292, 297, 298, 304, 307, 323, 332, 335, 338], "about": [1, 284, 292, 313, 314, 338, 339, 342], "import": [1, 2, 137, 138, 159, 164, 165, 166, 171, 198, 199, 200, 233, 235, 271, 298, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 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342], "forum": 2, "python": [2, 3, 4, 49, 93, 117, 130, 142, 148, 201, 207, 263, 280, 284, 285, 288, 292, 293, 304, 306, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "modul": [2, 4, 58, 79, 101, 106, 107, 109, 110, 113, 134, 137, 138, 159, 164, 171, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 199, 200, 214, 215, 220, 223, 233, 245, 250, 252, 261, 270, 273, 277, 282, 283, 286, 287, 288, 290, 295, 297, 298, 301, 306, 307, 308, 310, 311, 313, 315, 318, 319, 320, 323, 329, 335, 336, 337, 342, 343], "folder": [2, 4, 30, 31, 323], "181321": 2, "bootstrap": 2, "pypa": 2, "io": [2, 3, 4, 39, 95, 96, 97, 98, 263, 282, 284, 285, 286, 287, 288, 291, 315, 319, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "after": [2, 4, 73, 74, 90, 95, 105, 111, 113, 118, 119, 130, 134, 142, 204, 207, 208, 214, 219, 220, 221, 222, 223, 224, 225, 239, 241, 244, 245, 261, 263, 275, 313, 314, 315, 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200, 233, 284, 285, 297, 313, 314, 316, 322, 327, 328, 335], "__version__": [2, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "is_avail": [2, 321, 326, 327, 328, 335, 342], "empti": [2, 28, 284, 313, 333, 339], "410ce96a": 2, "12": [2, 4, 26, 80, 171, 200, 207, 215, 240, 241, 267, 288, 304, 313, 314, 320, 321, 326, 327, 328, 329, 330, 333, 334, 336, 337, 338], "true": [2, 6, 9, 10, 11, 13, 17, 39, 40, 41, 47, 56, 57, 62, 64, 65, 75, 76, 79, 82, 85, 87, 88, 90, 95, 100, 104, 105, 111, 122, 130, 142, 159, 200, 206, 213, 215, 218, 225, 238, 239, 240, 241, 242, 243, 244, 245, 248, 250, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 269, 270, 271, 272, 273, 274, 275, 280, 281, 283, 284, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 336, 337, 338, 339, 340, 341, 342], "e": [2, 3, 4, 9, 10, 11, 36, 40, 41, 42, 43, 49, 53, 55, 57, 58, 62, 63, 65, 68, 79, 81, 84, 90, 92, 93, 107, 109, 110, 130, 142, 159, 171, 176, 192, 193, 194, 198, 200, 208, 233, 239, 241, 243, 255, 261, 263, 275, 277, 280, 282, 284, 285, 286, 287, 292, 293, 298, 304, 313, 314, 318, 319, 321, 322, 323, 326, 327, 335, 336, 338, 339, 342], "pep517": [2, 3, 4], "2ead941": 2, "aarch64": [2, 3], "folllow": 3, "en": [3, 4, 36, 40, 41, 42, 43, 44, 55, 63, 67, 68, 92, 175, 259, 304, 312, 314, 325, 332, 338, 341], "miniconda": [3, 4], "select": [3, 26, 94, 100, 243, 261, 304, 307, 329, 337, 341], "version": [3, 4, 15, 28, 59, 95, 115, 121, 123, 124, 125, 210, 217, 234, 282, 286, 288, 304, 312, 323, 328, 330, 331, 339, 340, 342], "nightli": [3, 4, 312, 325, 333, 336, 341], "setup": [3, 4, 320], "due": [3, 4, 29, 130, 284, 292, 323, 328], "complex": [3, 4, 38, 64, 75, 76, 78, 82, 86, 87, 90, 130, 223, 257, 261, 266, 270, 273, 275, 279, 284, 295, 301, 304, 320, 329], "place": [3, 4, 208, 284, 292, 314, 320, 330], "pip": [3, 4, 288, 317, 318, 319, 323], "tri": [3, 4], "architectur": [3, 4, 101, 102, 103, 104, 112, 143, 144, 145, 146, 147, 148, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 195, 196, 197, 215, 219, 221, 222, 227, 228, 229, 304, 323], "your": [3, 4, 167, 168, 169, 170, 271, 294, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "those": [3, 23, 35, 47, 56, 250, 252, 314, 315, 321, 332, 338], "fail": [3, 4, 284, 292, 307, 312, 322, 331, 333, 337, 338, 341], "switch": [3, 4], "singl": [3, 4, 37, 38, 79, 94, 114, 130, 142, 245, 261, 270, 273, 284, 285, 292, 297, 315, 319, 329, 339], "must": [3, 4, 9, 10, 11, 35, 39, 47, 56, 57, 59, 62, 65, 90, 93, 94, 100, 104, 114, 118, 122, 136, 202, 207, 208, 211, 212, 213, 215, 218, 225, 230, 239, 241, 243, 250, 252, 253, 255, 263, 275, 278, 279, 280, 284, 285, 293, 298, 304, 314, 318, 326, 332, 337, 338, 339, 340, 342], 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328, 331, 337, 338, 340], "line": [4, 58, 118, 119, 243, 313, 314, 326, 335, 337], "view": 4, "160": [4, 258, 260, 321, 327], "vcvarsallbat": 4, "host": [4, 282, 286], "call": [4, 85, 105, 122, 269, 284, 285, 292, 293, 307, 320, 321, 332, 335, 337, 339, 342], "ux": 4, "nativ": [4, 100, 244], "style": 4, "dataset": [4, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 149, 150, 153, 154, 155, 156, 157, 159, 162, 163, 164, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 230, 231, 232, 234, 244, 287, 298, 304, 313, 314, 315, 317, 328, 329, 332, 334, 335], "miniconda3": 4, "ex": [4, 314], "cpuonli": 4, "With": 4, "when": [4, 13, 23, 37, 39, 64, 65, 69, 70, 72, 75, 76, 87, 90, 93, 94, 95, 100, 106, 113, 114, 116, 118, 142, 208, 210, 211, 212, 225, 239, 241, 243, 244, 254, 257, 261, 263, 267, 270, 273, 275, 278, 280, 283, 284, 285, 288, 292, 293, 297, 307, 313, 314, 317, 318, 319, 320, 321, 322, 325, 327, 328, 329, 330, 331, 335, 337, 338, 339, 340, 342], "intend": 4, "same": [4, 16, 18, 19, 25, 26, 27, 30, 31, 35, 47, 54, 56, 57, 65, 69, 70, 78, 83, 93, 95, 116, 118, 119, 148, 153, 154, 155, 156, 157, 159, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 208, 211, 220, 223, 232, 245, 247, 250, 252, 261, 277, 280, 292, 293, 297, 312, 313, 314, 318, 319, 320, 321, 322, 326, 327, 330, 335, 336, 337, 338, 340, 342], "everyth": [4, 337], "readi": [4, 284], "illustr": [4, 198, 208, 297, 318, 319, 321, 323, 324, 326, 327, 332, 337, 340, 342], "come": [4, 314, 328, 332], "major": [4, 7, 320, 330, 331], "codec": [4, 39, 94, 95, 282, 284, 285, 286, 287, 292, 293, 307, 319, 322, 323, 330, 332, 336, 337, 338], "decod": [4, 9, 54, 73, 83, 88, 100, 102, 105, 108, 111, 113, 116, 117, 118, 119, 120, 159, 161, 198, 264, 272, 282, 284, 285, 286, 287, 289, 292, 297, 307, 309, 319, 322, 323, 324, 331, 332, 334, 335, 336, 337, 338], "regular": [4, 333, 338, 340], "find": [4, 167, 168, 169, 170, 287, 292, 320, 331], "yourself": 4, "might": [4, 244, 298, 306, 312, 314, 318, 320, 331, 335, 337], "usabl": 4, "mingw64": 4, "pkg": [4, 282, 286], "purpos": [4, 198, 323, 327], "document": [4, 7, 100, 148, 234, 243, 284, 285, 288, 292, 306, 307, 313, 314, 316, 318, 319, 322, 325, 335, 339], "touch": 4, "trac": [4, 95, 285, 324], "wiki": [4, 36, 40, 41, 42, 43, 44, 55, 63, 68, 92, 95, 285, 304, 312, 324, 325, 341], "compilationguid": 4, "mingw": 4, "www": [4, 30, 31, 32, 36, 40, 41, 42, 43, 50, 67, 84, 92, 239, 259, 304, 325, 333, 338], "chocolateri": 4, "shortcut": 4, "plai": [4, 98, 287, 336], "well": [4, 159, 294, 307, 312, 314, 322, 330, 335, 336, 338, 340], "env": [4, 333], "initi": [4, 44, 62, 93, 104, 105, 116, 122, 208, 211, 215, 225, 255, 267, 280, 284, 292, 313, 322, 323, 332], "bashrc": 4, "instead": [4, 16, 18, 19, 25, 26, 27, 30, 31, 90, 116, 203, 258, 260, 271, 275, 284, 285, 292, 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95, 100, 101, 102, 103, 104, 105, 108, 111, 112, 113, 114, 115, 116, 117, 118, 119, 121, 122, 126, 127, 128, 129, 130, 131, 132, 134, 136, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 161, 164, 200, 201, 202, 203, 204, 205, 206, 207, 208, 211, 212, 213, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 226, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 249, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 267, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 290, 292, 293, 312, 313, 315, 318, 319, 321, 322, 323, 324, 326, 327, 328, 332, 333, 340, 341], "dither": [9, 10, 11], "energy_floor": [9, 10, 11], "frame_length": [9, 10, 11, 64, 90, 257, 275], "25": [9, 10, 11, 58, 93, 159, 200, 280, 284, 304, 313, 314, 321, 324, 326, 327, 329, 330, 331, 332, 333, 342], "frame_shift": [9, 10, 11], "high_freq": [9, 10], "htk_compat": [9, 10], "bool": [9, 10, 11, 12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 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331, 335], "povei": [9, 10, 11, 304], "raw": [9, 10, 11, 90, 113, 116, 159, 237, 239, 263, 279, 282, 285, 286, 315, 319, 323, 326, 330, 331, 337, 338], "signal": [9, 10, 11, 35, 46, 51, 57, 62, 64, 65, 73, 74, 77, 81, 83, 89, 90, 91, 93, 94, 212, 238, 239, 240, 241, 242, 247, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 271, 274, 275, 276, 277, 280, 287, 304, 315, 318, 320, 328, 329, 333, 336, 338], "match": [9, 10, 11, 35, 47, 56, 88, 95, 110, 208, 250, 252, 285, 288, 293, 304, 319, 326, 330, 336, 338, 339, 340, 342], "feat": [9, 10, 11, 314, 323, 332, 335], "rang": [9, 10, 11, 46, 49, 53, 57, 58, 65, 77, 79, 100, 107, 159, 278, 283, 292, 312, 313, 314, 315, 318, 319, 320, 321, 322, 324, 325, 327, 330, 333, 337, 338, 339, 340, 341, 342], "option": [9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 68, 69, 70, 71, 75, 76, 77, 79, 80, 81, 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292, 293, 297, 312, 313, 314, 315, 318, 319, 320, 322, 326, 329, 330, 331, 333, 336, 338, 340, 341], "triangular": [9, 10, 53, 58, 66, 71, 79, 205, 238, 256, 262, 263], "preemphasi": [9, 10, 11, 51], "befor": [9, 10, 11, 33, 37, 93, 100, 111, 130, 142, 159, 204, 248, 280, 284, 285, 292, 293, 294, 306, 314, 322, 323, 327, 330, 336, 339, 340], "subtract": [9, 10, 11, 208, 209, 213, 287, 312, 325, 333, 334], "each": [9, 10, 11, 30, 31, 35, 37, 51, 59, 62, 64, 66, 71, 78, 80, 81, 85, 89, 90, 101, 104, 105, 106, 107, 108, 109, 111, 113, 114, 116, 117, 118, 119, 122, 130, 142, 165, 166, 171, 172, 173, 198, 199, 200, 205, 208, 211, 214, 215, 216, 218, 220, 221, 222, 223, 225, 233, 239, 241, 254, 255, 257, 263, 267, 269, 274, 275, 278, 284, 285, 288, 292, 301, 306, 307, 313, 314, 318, 321, 322, 323, 326, 327, 328, 330, 332, 335, 337, 338, 340, 342], "round": [9, 10, 11, 320], "power": [9, 10, 11, 33, 37, 62, 75, 76, 82, 86, 87, 90, 93, 239, 241, 248, 255, 261, 263, 266, 270, 273, 275, 279, 280, 281, 284, 311, 314, 315, 317, 318, 328, 329, 332, 338, 340, 341], "two": [9, 10, 11, 31, 36, 40, 41, 42, 44, 47, 54, 56, 60, 64, 69, 70, 89, 90, 98, 116, 130, 142, 239, 241, 250, 252, 257, 261, 263, 274, 275, 284, 285, 314, 319, 320, 323, 327, 329, 335, 340], "zero": [9, 10, 11, 23, 62, 85, 111, 204, 208, 255, 269, 304, 312, 320, 321, 322, 323, 325, 327, 328, 330, 332, 333, 341], "pad": [9, 10, 11, 23, 45, 57, 64, 65, 85, 89, 90, 95, 104, 107, 111, 159, 215, 239, 241, 244, 249, 257, 263, 269, 274, 275, 322, 323, 332], "fft": [9, 10, 11, 56, 62, 64, 80, 89, 90, 105, 159, 239, 241, 252, 255, 257, 263, 267, 274, 275, 297, 325, 340], "end": [9, 10, 11, 34, 88, 93, 95, 103, 112, 116, 130, 142, 159, 208, 233, 244, 272, 280, 284, 304, 312, 315, 319, 321, 322, 323, 326, 327, 328, 329, 332, 338, 340], "effect": [9, 10, 11, 43, 46, 58, 64, 65, 75, 76, 77, 79, 87, 88, 92, 93, 95, 100, 243, 244, 245, 246, 261, 270, 272, 273, 280, 283, 284, 285, 287, 292, 317, 320, 321, 328, 332, 337], "handl": [9, 10, 11, 15, 29, 100, 243, 284, 285, 292, 307, 319, 320, 338], "fit": [9, 10, 11, 319], "depend": [9, 10, 11, 37, 48, 64, 85, 93, 100, 173, 243, 248, 257, 258, 260, 269, 280, 282, 284, 285, 286, 290, 292, 306, 308, 321, 322, 324, 326, 328, 329, 330, 332, 335, 337, 338, 339, 340, 342], "reflect": [9, 10, 11, 64, 90, 211, 212, 239, 241, 257, 263, 275, 317, 318, 320], "cm": [9, 10, 11, 325], "dimens": [9, 10, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 58, 61, 62, 63, 64, 65, 67, 68, 69, 70, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 100, 101, 102, 103, 104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 122, 130, 134, 136, 142, 200, 208, 211, 212, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 244, 245, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 279, 280, 281, 297, 321, 326, 335, 340], "log": [9, 59, 113, 119, 200, 201, 258, 260, 282, 286, 313, 315, 320, 325, 327, 331, 333], "filterbank": [9, 48, 66, 71, 205, 238, 239, 242, 256, 262, 263], "els": [9, 39, 100, 312, 313, 320, 321, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 341, 342], "linear": [9, 10, 58, 62, 66, 77, 94, 142, 179, 180, 181, 182, 183, 184, 185, 186, 187, 225, 242, 243, 253, 255, 256, 258, 304, 319, 328, 333, 340], "magnitud": [9, 62, 64, 66, 71, 89, 90, 102, 209, 239, 241, 248, 255, 257, 263, 274, 275, 304, 325, 328, 329, 340, 341], "inflect": [9, 10], "piecewis": [9, 10], "vtln": [9, 10], "warp": [9, 10], "neg": [9, 10, 37, 104, 113, 214, 215, 221, 222, 223, 248, 292, 320], "freq": [9, 10, 37, 38, 45, 52, 62, 64, 69, 70, 75, 76, 78, 82, 86, 87, 88, 90, 238, 242, 249, 255, 256, 257, 261, 262, 266, 270, 272, 273, 275, 279, 312, 318, 320, 329, 333], "factor": [9, 10, 78, 91, 105, 106, 122, 130, 216, 218, 243, 276, 277, 285, 313, 341], "applic": [9, 10, 54, 88, 116, 254, 271, 272, 278, 284, 287, 304, 307, 315, 319, 320, 321, 336, 338, 341], "vtln_map": [9, 10], "ham": [9, 10, 11, 213, 325], "han": [9, 10, 11, 304], "rectangular": [9, 10, 11, 53], "return": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 160, 161, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 281, 282, 283, 284, 285, 286, 290, 292, 306, 311, 312, 313, 314, 315, 317, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "what": [9, 10, 11, 234, 285, 293, 313, 314, 318, 321, 335, 338, 339, 342], "shape": [9, 10, 11, 35, 37, 47, 48, 51, 53, 56, 57, 59, 60, 65, 72, 75, 76, 78, 80, 81, 83, 87, 88, 91, 93, 95, 98, 100, 101, 102, 104, 105, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 160, 164, 172, 173, 201, 204, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 236, 237, 244, 245, 247, 250, 251, 252, 253, 267, 268, 270, 271, 273, 276, 277, 280, 284, 285, 292, 293, 313, 314, 315, 318, 319, 321, 328, 329, 330, 333, 335, 336, 338, 339, 340, 342], "calcul": [9, 10, 11, 54, 258, 260, 328], "_get_strid": [9, 10, 11], "asr": [9, 54, 83, 100, 104, 107, 108, 113, 116, 117, 118, 119, 120, 150, 153, 154, 159, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 200, 230, 231, 287, 289, 296, 298, 304, 309, 327, 334, 335, 337], "infer": [9, 54, 83, 94, 100, 113, 116, 117, 118, 119, 120, 122, 150, 159, 171, 198, 230, 231, 233, 234, 235, 243, 244, 267, 287, 296, 297, 298, 319, 326, 334, 342], "ctc": [9, 34, 54, 59, 72, 83, 85, 100, 113, 116, 117, 118, 119, 120, 198, 200, 269, 287, 297, 304, 326, 327, 334, 335, 336], "cepstral_lift": 10, "22": [10, 200, 207, 282, 285, 286, 304, 313, 320, 321, 326, 327, 336, 342], "num_cep": 10, "control": [10, 43, 46, 64, 77, 83, 90, 92, 105, 130, 142, 208, 239, 241, 257, 263, 271, 275, 284, 304, 322, 331, 340, 341], "cepstra": 10, "c0": 10, "fbank": [10, 314, 318], "padded_window_s": 11, "class": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 85, 94, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 130, 143, 144, 145, 146, 147, 159, 160, 161, 164, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 214, 215, 216, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 284, 285, 287, 292, 293, 297, 306, 311, 313, 315, 319, 321, 322, 323, 327, 332, 335, 338], "root": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 203, 313, 321, 335, 336, 342], "union": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 64, 75, 76, 87, 90, 94, 100, 118, 119, 172, 203, 207, 211, 212, 220, 243, 257, 270, 273, 275, 284, 285, 336], "url": [12, 13, 15, 17, 19, 20, 21, 26, 29, 30, 31, 32, 94, 159, 284, 292, 304, 314, 319, 326, 328, 336, 338], "aew": 12, "folder_in_arch": [12, 17, 19, 20, 21, 26, 32], "arctic": [12, 304], "cmu": [12, 13, 304], "kominek": [12, 304], "et": [12, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 62, 65, 76, 101, 103, 104, 106, 111, 112, 113, 114, 116, 126, 127, 128, 129, 130, 131, 132, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "al": [12, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 62, 65, 76, 101, 103, 104, 106, 111, 112, 113, 114, 116, 126, 127, 128, 129, 130, 131, 132, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "2003": [12, 239, 304], "allow": [12, 19, 20, 26, 28, 46, 49, 50, 54, 58, 77, 79, 84, 93, 94, 100, 130, 171, 223, 280, 284, 285, 307, 313, 314, 315, 319, 320, 322, 330, 331, 342], "ahw": 12, "aup": 12, "awb": 12, "axb": 12, "bdl": 12, "clb": 12, "eei": 12, "fem": 12, "gka": 12, "jmk": 12, "ksp": 12, "ljm": 12, "lnh": 12, "rm": 12, "rxr": 12, "slp": 12, "slt": [12, 304], "top": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 108, 116, 142, 159, 203, 225, 292, 293, 307, 308, 313, 314, 330, 333, 336, 340], "level": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 54, 93, 203, 204, 211, 280, 282, 283, 285, 286, 292, 293, 307, 308, 322, 326, 333, 338], "whether": [12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 64, 90, 116, 118, 130, 142, 216, 220, 223, 239, 241, 254, 257, 258, 260, 263, 275, 278, 313], "tupl": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 59, 91, 100, 101, 104, 106, 107, 108, 111, 113, 114, 116, 130, 142, 148, 160, 172, 173, 198, 200, 203, 214, 215, 216, 226, 244, 245, 276, 277, 282, 284, 286, 290, 319], "th": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 38, 64, 90, 101, 104, 107, 203, 207, 215, 239, 241, 257, 263, 270, 273, 275, 304, 314], "rate": [12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 78, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 105, 123, 124, 125, 159, 164, 165, 166, 173, 198, 199, 200, 203, 205, 206, 210, 212, 216, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 256, 258, 259, 260, 262, 263, 267, 274, 279, 280, 284, 285, 292, 293, 297, 312, 315, 316, 317, 318, 319, 320, 321, 322, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 339, 341, 342], "transcript": [12, 16, 19, 21, 22, 27, 28, 29, 107, 108, 122, 159, 181, 184, 198, 201, 202, 218, 313, 314, 322, 323, 327, 332], "utter": [12, 15, 18, 19, 20, 22, 26, 29, 31, 88, 104, 215, 272, 315], "exclude_punctu": 13, "svn": 13, "sf": 13, "net": [13, 36, 40, 41, 42, 43, 46, 49, 50, 58, 77, 79, 84, 92, 93, 243, 280, 283, 304, 336], "p": [13, 69, 70, 102, 171, 198, 200, 278, 284, 287, 304, 313, 314, 321, 322, 323, 326, 327, 335, 336, 342], "cmusphinx": 13, "trunk": 13, "7b": 13, "url_symbol": 13, "pronounc": 13, "dictionari": [13, 14, 118, 165, 166, 171, 198, 199, 200, 233, 290, 297, 304, 321, 327, 335, 337], "weid": [13, 304], "1998": [13, 304], "exclud": [13, 298], "pronounci": 13, "punctuat": [13, 326], "exclam": 13, "hash": 13, "mark": [13, 304, 306], "phonem": [13, 28, 168, 170, 171, 288, 297, 321], "aa": [13, 282, 286], "ae": 13, "ah": [13, 171, 342], "word": [13, 28, 54, 116, 117, 118, 158, 202, 313, 314, 318, 326, 335], "tsv": 14, "train": [14, 15, 16, 17, 19, 20, 23, 24, 26, 27, 28, 30, 102, 104, 105, 106, 107, 111, 112, 114, 130, 142, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 214, 215, 221, 222, 223, 230, 231, 232, 233, 234, 235, 287, 295, 297, 301, 304, 313, 314, 315, 319, 321, 326, 327, 328, 332, 335, 336, 342], "ardila": [14, 191, 192, 193, 194, 304], "present": [14, 284, 285, 292, 293, 314, 320, 321, 323, 340], "construct": [14, 118, 149, 150, 151, 152, 159, 162, 163, 164, 165, 166, 198, 199, 200, 230, 231, 232, 233, 235, 292, 293, 295, 301, 321, 325, 330, 335, 337], "invalid": [14, 284, 324], "valid": [14, 16, 17, 24, 26, 27, 28, 35, 47, 56, 91, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 120, 130, 134, 142, 171, 172, 173, 208, 210, 214, 215, 243, 246, 247, 250, 252, 256, 276, 277, 283, 284, 285, 292, 338, 342], "dict": [14, 28, 116, 200, 239, 241, 242, 255, 257, 258, 260, 263, 267, 274, 275, 282, 283, 284, 285, 286, 328], "client_id": 14, "sentenc": [14, 54, 111, 116], "up_vot": 14, "down_vot": 14, "ag": [14, 314], "gender": 14, "accent": 14, "subset": [15, 16, 17, 22, 23, 24, 25, 26, 27, 28, 30, 164, 174, 175, 176, 177, 178, 179, 180, 182, 183, 185, 186, 203, 304, 306], "datashar": [15, 29], "ed": [15, 29, 314], "ac": [15, 29, 30, 31, 282, 286, 338], "uk": [15, 29, 30, 31, 333], "10283": [15, 29], "3038": 15, "dr": 15, "vctk": [15, 29, 304], "zip": [15, 29, 30, 31, 245, 313, 318, 320, 321, 324, 325, 326, 327, 328, 330, 331, 342], "record": [15, 49, 93, 211, 280, 304, 315, 332, 337], "small": [15, 65, 219, 221, 271, 304, 314, 320, 322, 325, 327], "sarfjoo": [15, 304], "yamagishi": [15, 29, 163, 304], "2018": [15, 26, 27, 111, 114, 211, 212, 304, 338], "noisi": [15, 38, 261, 315], "speaker": [15, 16, 18, 19, 20, 22, 23, 26, 27, 28, 29, 30, 31, 285, 304, 339, 340], "fluent": 16, "speech": [16, 21, 26, 29, 35, 75, 76, 83, 86, 87, 93, 100, 101, 102, 103, 104, 109, 110, 111, 112, 113, 114, 158, 159, 165, 166, 167, 168, 169, 170, 171, 191, 198, 203, 215, 219, 221, 222, 232, 255, 257, 261, 263, 266, 270, 271, 273, 275, 277, 280, 287, 288, 304, 313, 314, 317, 321, 322, 323, 327, 332, 334], "lugosch": [16, 304], "action": 16, "filepath": [16, 18, 19, 25, 26, 27, 30, 31, 203], "otherwis": [16, 18, 19, 25, 26, 27, 30, 31, 39, 57, 62, 65, 69, 70, 85, 91, 94, 95, 100, 130, 142, 203, 206, 208, 210, 213, 240, 241, 243, 244, 255, 269, 276, 277, 284, 285, 292, 293, 328], "field": [16, 18, 19, 25, 26, 27, 30, 31, 203, 313], "opihi": 17, "uvic": 17, "ca": [17, 314], "genr": [17, 304], "none": [17, 18, 24, 25, 26, 27, 35, 37, 39, 48, 49, 59, 62, 64, 71, 75, 78, 80, 82, 83, 85, 90, 91, 93, 94, 95, 98, 100, 104, 106, 107, 108, 111, 113, 114, 116, 118, 120, 122, 126, 127, 128, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 165, 166, 171, 173, 198, 199, 200, 204, 206, 210, 212, 214, 215, 224, 225, 233, 238, 239, 240, 241, 242, 243, 244, 247, 248, 255, 256, 257, 258, 260, 261, 262, 263, 266, 267, 269, 271, 274, 275, 276, 277, 279, 280, 284, 285, 292, 293, 312, 313, 315, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333], "tzanetaki": [17, 304], "2001": [17, 304], "marsya": 17, "info": [17, 73, 74, 264, 265, 282, 286, 287, 319], "plan": [17, 307, 319], "publish": [17, 153, 154, 155, 156, 157, 158, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 232, 332, 342], "octob": 17, "current": [17, 44, 59, 88, 93, 98, 104, 107, 108, 114, 116, 204, 211, 215, 272, 280, 284, 285, 307, 308, 327, 330, 336], "connect": [17, 114, 284], "error": [17, 53, 65, 210, 282, 285, 286, 292, 293, 306, 321, 322, 329, 331, 336, 338], "entir": [17, 113, 288, 308, 324, 328], "label": [17, 18, 26, 27, 30, 31, 32, 59, 85, 106, 113, 116, 117, 130, 198, 200, 269, 297, 306, 313, 316, 318, 320, 321, 325, 335, 341], "session": 18, "utterance_typ": 18, "busso": [18, 304], "2008": [18, 304], "improvis": 18, "both": [18, 39, 64, 85, 90, 150, 152, 211, 230, 231, 239, 241, 257, 263, 269, 275, 292, 293, 313, 320, 322, 323, 329, 330, 331, 332, 338], "neu": 18, "hap": 18, "ang": 18, "sad": [18, 313, 332], "exc": 18, "fru": 18, "panayotov": [19, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 304], "2015": [19, 25, 62, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 203, 255, 277, 304], "dowload": [19, 20, 26], "360": [19, 20, 23, 153, 154, 155, 179, 180, 181, 182, 183, 184, 187, 188, 189, 330, 331, 337, 338, 339], "chapter": [19, 20, 22], "zen": [20, 304], "origin": [20, 26, 62, 64, 83, 91, 114, 125, 130, 137, 138, 142, 151, 152, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 208, 232, 234, 254, 255, 257, 271, 276, 277, 278, 279, 285, 313, 317, 318, 320, 321, 323, 327, 328, 329, 330, 332, 338, 340, 342], "text": [20, 29, 35, 38, 45, 51, 59, 60, 64, 75, 76, 81, 90, 111, 114, 159, 161, 167, 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"benchmark": [314, 320, 330, 331], "flashlight": 314, "audio": [315, 316, 317, 318, 319, 320, 321, 327, 328, 329, 332, 337, 339, 340], "prepar": [315, 317, 318, 319, 320, 321, 327, 328, 329, 332, 335, 336, 338, 339, 340, 342], "origin": [315, 324, 337], "reverber": 315, "rir": 315, "ad": 315, "background": 315, "nois": [315, 329, 336, 337, 341], "snr": 315, "20": 315, "db": 315, "10": 315, "tensor": 315, "8": [315, 320, 336], "bit": 315, "mu": 315, "law": 315, "g": 315, "722": 315, "vorbi": [315, 324], "phone": 315, "recod": 315, "specaug": 317, "visual": [317, 321, 327, 329, 330, 336, 340], "sampl": [317, 325, 327, 336], "time": [317, 333, 334, 339], "mask": [317, 329], "The": [318, 322, 323, 340], "mel": 318, "bank": [318, 333], "comparison": [318, 320, 336], "against": [318, 320], "librosa": [318, 320], "metadata": 319, "like": [319, 327, 338, 340], "tip": 319, "slice": 319, "control": 320, "qualiti": [320, 331], "lowpass": [320, 324, 337], "width": 320, "rolloff": 320, "kaiser_best": 320, "kaiser_fast": 320, "perform": 320, "downsampl": 320, "48": 320, "44": 320, "khz": 320, "16": 320, "upsampl": 320, "summari": 320, "api": 321, "gener": [321, 327, 329, 335, 342], "emiss": 321, "transcript": [321, 326, 335], "frame": [321, 327, 330], "level": 321, "word": [321, 327], "preview": 321, "inconsist": 321, "treatment": 321, "advanc": [321, 337, 339], "handl": 321, "star": 321, "full": 321, "partial": 321, "without": [321, 340], "conclus": [321, 326, 327, 335], "acknowledg": [321, 326], "acquisit": [322, 323], "main": [322, 323], "process": [322, 323, 328, 342], "av": 323, "usag": [324, 337, 338, 339, 340], "exampl": [324, 337, 338, 340], "galleri": 324, "tempo": 324, "highpass": [324, 337], "allpass": 324, "bandpass": 324, "bandreject": 324, "echo": 324, "choru": 324, "fft": [324, 337], "vibrato": 324, "tremolo": 324, "crystal": 324, "pulsat": 324, "haa": 324, "ogg": 324, "default": [324, 338], "flac": 324, "opu": 324, "mp3": 324, "compression_level": 324, "9": 324, "bit_rat": 324, "192k": 324, "8k": 324, "qscale": 324, "design": 325, "sinc": [325, 341], "low": 325, "pass": 325, "high": 325, "band": 325, "brick": 325, "wall": 325, "arbitrari": [325, 341], "shape": 325, "multilingu": 326, "normal": 326, "german": 326, "chines": 326, "polish": 326, "portugues": 326, "italian": 326, "wise": 327, "label": 327, "probabl": 327, "trelli": 327, "find": 327, "most": 327, "path": 327, "backtrack": 327, "segment": [327, 328], "merg": 327, "music": 328, "hybrid": 328, "demuc": 328, "applic": 328, "track": 328, "enhanc": 329, "beamform": 329, "import": 329, "packag": 329, "ideal": 329, "ratio": 329, "irm": 329, "stft": 329, "coeffici": 329, "mixtur": 329, "clean": 329, "defin": 329, "microphon": 329, "target": 329, "result": [329, 330, 331, 340], "rtf": 329, "acceler": [330, 331], "prerequisit": [330, 331], "hw": 330, "resiz": 330, "crop": 330, "compar": 330, "qvga": 330, "vga": 330, "xga": 330, "360p": 331, "720p": 331, "1080p": 331, "spotcheck": 331, "onlin": 332, "oscil": [333, 341], "adsr": 333, "envelop": 333, "simpl": 333, "sine": [333, 337], "combin": 333, "chang": 333, "across": 333, "drum": 333, "beat": 333, "pluck": 333, "riser": 333, "recognit": 335, "intrus": 336, "assess": 336, "distort": 336, "noisi": 336, "waveform": [336, 342], "7": 336, "mean": 336, "opinion": 336, "score": 336, "ground": 336, "truth": 336, "baselin": 336, "input": 337, "synthet": 337, "signal": 337, "arbitr": 337, "express": 337, "cellular": 337, "automaton": 337, "mandelbrot": 337, "mplayer": 337, "test": 337, "pattern": 337, "john": 337, "conwai": 337, "": 337, "life": 337, "game": 337, "sierpinski": 337, "carpet": 337, "fractal": 337, "robot": 337, "whisper": 337, "mirror": 337, "edg": 337, "detect": 337, "random": 337, "rotat": 337, "pixel": 337, "manipul": 337, "basic": [338, 340], "local": [338, 340], "network": 338, "protocol": [338, 339, 340], "headerless": 338, "media": 338, "output": [338, 340], "ouptut": 338, "avail": 339, "plai": 339, "rtmp": 339, "real": 339, "messag": 339, "udp": 339, "datagram": 339, "destin": 340, "ex": 340, "imag": 340, "spectrum": 340, "canva": 340, "subtract": 341, "sweep": 341, "cutoff": 341, "wah": 341, "charact": 342, "base": 342, "phonem": 342, "griffin": 342, "lim": 342, "waveglow": 342}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 6, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1, "sphinxcontrib.bibtex": 9, "nbsphinx": 4, "sphinx": 56}})
\ No newline at end of file
diff --git a/main/sox_effects.html b/main/sox_effects.html
index fe5a322caf..3a8f876fa4 100644
--- a/main/sox_effects.html
+++ b/main/sox_effects.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.sox_effects — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.sox_effects — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/supported_features.html b/main/supported_features.html
index d8e93205ff..d99bcd6659 100644
--- a/main/supported_features.html
+++ b/main/supported_features.html
@@ -10,7 +10,7 @@
 
   
   
-  Supported Features — Torchaudio 2.2.0.dev20240424 documentation
+  Supported Features — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/torchaudio.html b/main/torchaudio.html
index addde76ed9..a52a29ff24 100644
--- a/main/torchaudio.html
+++ b/main/torchaudio.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/torio.html b/main/torio.html
index 0850b33c8c..08c3745032 100644
--- a/main/torio.html
+++ b/main/torio.html
@@ -10,7 +10,7 @@
 
   
   
-  torio — Torchaudio 2.2.0.dev20240424 documentation
+  torio — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/torio.io.html b/main/torio.io.html
index 91d3e86bc0..3d9ada7b75 100644
--- a/main/torio.io.html
+++ b/main/torio.io.html
@@ -10,7 +10,7 @@
 
   
   
-  torio.io — Torchaudio 2.2.0.dev20240424 documentation
+  torio.io — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/torio.utils.html b/main/torio.utils.html
index ed48aded2e..1b2372cd9c 100644
--- a/main/torio.utils.html
+++ b/main/torio.utils.html
@@ -10,7 +10,7 @@
 
   
   
-  torio.utils — Torchaudio 2.2.0.dev20240424 documentation
+  torio.utils — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
diff --git a/main/transforms.html b/main/transforms.html
index aaa326f29f..eb64a0502c 100644
--- a/main/transforms.html
+++ b/main/transforms.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.transforms — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.transforms — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
@@ -438,7 +438,7 @@
 
          torchaudio.transformsĀ¶
          
 
          torchaudio.transforms module contains common audio processings and feature extractions. The following diagram shows the relationship between some of the available transforms.
          
 https://download.pytorch.org/torchaudio/tutorial-assets/torchaudio_feature_extractions.png
-
          Transforms are implemented using torch.nn.Module. Common ways to build a processing pipeline are to define custom Module class or chain Modules together using torch.nn.Sequential, then move it to a target device and data type.
          
+
          Transforms are implemented using torch.nn.Module. Common ways to build a processing pipeline are to define custom Module class or chain Modules together using torch.nn.Sequential, then move it to a target device and data type.
          
 
          # Define custom feature extraction pipeline.
 #
 # 1. Resample audio
diff --git a/main/tutorials/additive_synthesis_tutorial.html b/main/tutorials/additive_synthesis_tutorial.html
index 1a4d7bbd0b..e12bee2e7e 100644
--- a/main/tutorials/additive_synthesis_tutorial.html
+++ b/main/tutorials/additive_synthesis_tutorial.html
@@ -10,7 +10,7 @@
 
   
   
-  Additive Synthesis — Torchaudio 2.2.0.dev20240424 documentation
+  Additive Synthesis — Torchaudio 2.2.0.dev20240509 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240509 ▼
     
          
     
 
@@ -484,8 +484,8 @@
 print(torchaudio.__version__)
 
          
 
          
-
          2.4.0.dev20240423
-2.2.0.dev20240424
+
          2.4.0.dev20240508
+2.2.0.dev20240509
 
          
 
          
 
          
@@ -793,7 +793,7 @@ 
          Referenceshttps://computermusicresource.com/Simple.bell.tutorial.html
          
 
        • https://computermusicresource.com/Definitions/additive.synthesis.html
          • 
 
        
-
        Total running time of the script: ( 0 minutes  4.864 seconds)
        
+
        Total running time of the script: ( 0 minutes  4.787 seconds)
-
2.4.0.dev20240423
-2.2.0.dev20240424
+
2.4.0.dev20240508
+2.2.0.dev20240509
 

 

 
import time
@@ -530,47 +530,50 @@ 
Acoustic Model and Set Up
Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth
 
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We will load a sample from the LibriSpeech test-other dataset.

@@ -720,389 +723,370 @@ 
Downloading Pretrained Files
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-  2%|2         | 61.2M/2.91G [00:01<00:45, 67.8MB/s]
-  2%|2         | 68.6M/2.91G [00:01<00:59, 51.1MB/s]
-  3%|2         | 79.8M/2.91G [00:01<00:53, 57.0MB/s]
-  3%|2         | 86.0M/2.91G [00:01<01:00, 50.0MB/s]
-  3%|3         | 94.9M/2.91G [00:02<01:08, 44.5MB/s]
-  3%|3         | 99.6M/2.91G [00:02<01:08, 44.2MB/s]
-  4%|3         | 112M/2.91G [00:02<00:49, 60.6MB/s]
-  4%|3         | 119M/2.91G [00:02<00:52, 57.1MB/s]
-  4%|4         | 126M/2.91G [00:02<00:48, 61.3MB/s]
-  4%|4         | 132M/2.91G [00:02<00:57, 52.3MB/s]
-  5%|4         | 144M/2.91G [00:03<01:00, 49.5MB/s]
-  5%|5         | 149M/2.91G [00:03<01:03, 47.0MB/s]
-  5%|5         | 159M/2.91G [00:03<00:53, 55.4MB/s]
-  6%|5         | 165M/2.91G [00:03<00:58, 50.4MB/s]
-  6%|5         | 175M/2.91G [00:03<00:50, 58.5MB/s]
-  6%|6         | 181M/2.91G [00:03<00:59, 49.6MB/s]
-  6%|6         | 192M/2.91G [00:03<00:52, 55.8MB/s]
-  7%|6         | 202M/2.91G [00:04<00:44, 65.8MB/s]
-  7%|7         | 209M/2.91G [00:04<01:12, 40.0MB/s]
-  8%|7         | 224M/2.91G [00:04<01:06, 43.4MB/s]
-  8%|7         | 229M/2.91G [00:05<01:22, 34.9MB/s]
-  8%|7         | 234M/2.91G [00:05<01:18, 36.9MB/s]
-  8%|8         | 240M/2.91G [00:05<01:19, 36.1MB/s]
-  9%|8         | 255M/2.91G [00:05<00:56, 50.7MB/s]
-  9%|8         | 260M/2.91G [00:05<01:01, 46.6MB/s]
-  9%|9         | 273M/2.91G [00:05<00:45, 63.0MB/s]
-  9%|9         | 281M/2.91G [00:05<00:49, 57.7MB/s]
- 10%|9         | 288M/2.91G [00:06<00:51, 54.4MB/s]
- 10%|9         | 294M/2.91G [00:06<00:59, 47.4MB/s]
- 10%|#         | 299M/2.91G [00:06<01:01, 45.8MB/s]
- 10%|#         | 304M/2.91G [00:06<01:15, 37.4MB/s]
- 11%|#         | 316M/2.91G [00:06<00:50, 55.0MB/s]
- 11%|#         | 323M/2.91G [00:07<01:26, 32.2MB/s]
- 11%|#1        | 330M/2.91G [00:07<01:14, 37.4MB/s]
- 11%|#1        | 336M/2.91G [00:07<01:15, 36.9MB/s]
- 11%|#1        | 342M/2.91G [00:07<01:05, 41.9MB/s]
- 12%|#1        | 352M/2.91G [00:07<01:04, 42.6MB/s]
- 12%|#2        | 362M/2.91G [00:08<00:51, 53.4MB/s]
- 12%|#2        | 368M/2.91G [00:08<01:04, 42.3MB/s]
- 13%|#2        | 375M/2.91G [00:08<00:58, 46.7MB/s]
- 13%|#2        | 383M/2.91G [00:08<00:56, 48.0MB/s]
- 13%|#3        | 388M/2.91G [00:08<01:07, 40.4MB/s]
- 13%|#3        | 400M/2.91G [00:08<00:54, 49.4MB/s]
- 14%|#3        | 409M/2.91G [00:09<00:46, 57.7MB/s]
- 14%|#3        | 415M/2.91G [00:09<00:53, 50.3MB/s]
- 14%|#4        | 421M/2.91G [00:09<01:03, 42.2MB/s]
- 14%|#4        | 432M/2.91G [00:09<00:59, 45.2MB/s]
- 15%|#4        | 436M/2.91G [00:09<01:05, 40.8MB/s]
- 15%|#5        | 448M/2.91G [00:09<00:53, 49.6MB/s]
- 15%|#5        | 462M/2.91G [00:10<00:38, 67.8MB/s]
- 16%|#5        | 469M/2.91G [00:10<00:53, 49.1MB/s]
- 16%|#6        | 480M/2.91G [00:10<00:51, 51.1MB/s]
- 16%|#6        | 486M/2.91G [00:10<00:49, 53.3MB/s]
- 17%|#6        | 492M/2.91G [00:10<00:52, 49.5MB/s]
- 17%|#6        | 498M/2.91G [00:11<00:57, 45.1MB/s]
- 17%|#7        | 508M/2.91G [00:11<00:43, 59.2MB/s]
- 17%|#7        | 515M/2.91G [00:11<00:52, 49.7MB/s]
- 18%|#7        | 522M/2.91G [00:11<00:46, 55.4MB/s]
- 18%|#7        | 529M/2.91G [00:11<01:14, 34.7MB/s]
- 18%|#7        | 533M/2.91G [00:11<01:12, 35.6MB/s]
- 18%|#8        | 538M/2.91G [00:12<01:14, 34.2MB/s]
- 18%|#8        | 542M/2.91G [00:12<02:01, 21.1MB/s]
- 18%|#8        | 545M/2.91G [00:12<01:53, 22.6MB/s]
- 19%|#8        | 556M/2.91G [00:12<01:07, 37.5MB/s]
- 19%|#9        | 569M/2.91G [00:12<00:44, 57.3MB/s]
- 20%|#9        | 587M/2.91G [00:12<00:29, 84.0MB/s]
- 20%|##        | 597M/2.91G [00:13<00:39, 63.4MB/s]
- 20%|##        | 608M/2.91G [00:13<00:48, 51.7MB/s]
- 21%|##        | 623M/2.91G [00:13<00:37, 65.4MB/s]
- 21%|##1       | 631M/2.91G [00:13<00:42, 58.6MB/s]
- 21%|##1       | 639M/2.91G [00:14<00:43, 56.8MB/s]
- 22%|##1       | 645M/2.91G [00:14<00:54, 44.8MB/s]
- 22%|##2       | 656M/2.91G [00:14<00:46, 52.1MB/s]
- 22%|##2       | 668M/2.91G [00:14<00:37, 64.8MB/s]
- 23%|##2       | 675M/2.91G [00:14<00:45, 53.4MB/s]
- 23%|##2       | 682M/2.91G [00:14<00:47, 51.1MB/s]
- 24%|##3       | 704M/2.91G [00:15<00:32, 72.9MB/s]
- 24%|##3       | 711M/2.91G [00:15<00:38, 61.8MB/s]
- 24%|##4       | 720M/2.91G [00:15<00:42, 56.3MB/s]
- 24%|##4       | 726M/2.91G [00:15<00:51, 45.9MB/s]
- 25%|##4       | 731M/2.91G [00:16<01:07, 35.2MB/s]
- 25%|##4       | 736M/2.91G [00:16<01:05, 35.7MB/s]
- 25%|##4       | 740M/2.91G [00:16<01:04, 36.4MB/s]
- 25%|##5       | 752M/2.91G [00:16<00:44, 52.0MB/s]
- 26%|##5       | 761M/2.91G [00:16<00:37, 61.5MB/s]
- 26%|##5       | 768M/2.91G [00:16<00:45, 51.1MB/s]
- 26%|##5       | 774M/2.91G [00:16<00:54, 42.2MB/s]
- 26%|##6       | 784M/2.91G [00:17<00:44, 51.2MB/s]
- 27%|##6       | 796M/2.91G [00:17<00:34, 66.1MB/s]
- 27%|##6       | 804M/2.91G [00:17<00:44, 51.9MB/s]
- 27%|##7       | 815M/2.91G [00:17<00:40, 56.4MB/s]
- 28%|##7       | 821M/2.91G [00:17<00:44, 50.9MB/s]
- 28%|##7       | 831M/2.91G [00:18<00:44, 50.7MB/s]
- 28%|##8       | 836M/2.91G [00:18<00:47, 47.6MB/s]
- 28%|##8       | 847M/2.91G [00:18<00:37, 59.1MB/s]
- 29%|##8       | 853M/2.91G [00:18<00:41, 53.6MB/s]
- 29%|##8       | 864M/2.91G [00:18<00:44, 49.5MB/s]
- 29%|##9       | 872M/2.91G [00:18<00:40, 55.0MB/s]
- 30%|##9       | 880M/2.91G [00:18<00:36, 61.0MB/s]
- 30%|##9       | 891M/2.91G [00:18<00:29, 73.1MB/s]
- 30%|###       | 899M/2.91G [00:19<00:33, 64.6MB/s]
- 31%|###       | 911M/2.91G [00:19<00:27, 79.3MB/s]
- 31%|###       | 920M/2.91G [00:19<00:41, 52.6MB/s]
- 31%|###1      | 928M/2.91G [00:19<00:38, 55.3MB/s]
- 32%|###1      | 943M/2.91G [00:19<00:36, 58.8MB/s]
- 32%|###1      | 949M/2.91G [00:20<00:38, 55.4MB/s]
- 32%|###2      | 959M/2.91G [00:20<00:32, 64.4MB/s]
- 32%|###2      | 966M/2.91G [00:20<00:42, 50.1MB/s]
- 33%|###2      | 975M/2.91G [00:20<00:36, 57.5MB/s]
- 33%|###2      | 982M/2.91G [00:20<00:39, 53.3MB/s]
- 33%|###3      | 992M/2.91G [00:20<00:36, 56.9MB/s]
- 34%|###3      | 0.98G/2.91G [00:20<00:30, 68.3MB/s]
- 34%|###3      | 0.99G/2.91G [00:21<00:43, 47.6MB/s]
- 34%|###4      | 1.00G/2.91G [00:21<00:36, 56.0MB/s]
- 34%|###4      | 1.00G/2.91G [00:21<00:46, 44.1MB/s]
- 35%|###4      | 1.01G/2.91G [00:21<00:39, 52.0MB/s]
- 35%|###4      | 1.02G/2.91G [00:21<00:39, 52.1MB/s]
- 35%|###5      | 1.02G/2.91G [00:22<00:36, 54.9MB/s]
- 35%|###5      | 1.03G/2.91G [00:22<00:39, 51.0MB/s]
- 36%|###5      | 1.04G/2.91G [00:22<00:48, 41.8MB/s]
- 36%|###5      | 1.04G/2.91G [00:22<00:43, 46.3MB/s]
- 36%|###6      | 1.05G/2.91G [00:22<00:37, 52.6MB/s]
- 36%|###6      | 1.05G/2.91G [00:22<00:37, 53.7MB/s]
- 36%|###6      | 1.06G/2.91G [00:22<00:35, 56.0MB/s]
- 37%|###6      | 1.07G/2.91G [00:23<00:52, 37.8MB/s]
- 37%|###6      | 1.07G/2.91G [00:23<00:49, 39.8MB/s]
- 37%|###6      | 1.08G/2.91G [00:23<00:44, 43.8MB/s]
- 37%|###7      | 1.08G/2.91G [00:23<00:49, 39.4MB/s]
- 37%|###7      | 1.09G/2.91G [00:23<00:44, 44.1MB/s]
- 37%|###7      | 1.09G/2.91G [00:23<00:46, 41.7MB/s]
- 38%|###7      | 1.10G/2.91G [00:23<00:51, 37.8MB/s]
- 38%|###7      | 1.10G/2.91G [00:23<00:38, 51.0MB/s]
- 38%|###8      | 1.11G/2.91G [00:24<00:45, 42.2MB/s]
- 39%|###8      | 1.12G/2.91G [00:24<00:33, 56.6MB/s]
- 39%|###8      | 1.13G/2.91G [00:24<00:35, 54.3MB/s]
- 39%|###9      | 1.14G/2.91G [00:24<00:35, 53.7MB/s]
- 39%|###9      | 1.15G/2.91G [00:24<00:40, 46.8MB/s]
- 40%|###9      | 1.16G/2.91G [00:24<00:31, 60.1MB/s]
- 40%|###9      | 1.16G/2.91G [00:25<00:31, 60.5MB/s]
- 40%|####      | 1.17G/2.91G [00:25<00:26, 69.4MB/s]
- 41%|####      | 1.18G/2.91G [00:25<00:22, 81.9MB/s]
- 41%|####      | 1.19G/2.91G [00:25<00:26, 68.3MB/s]
- 41%|####1     | 1.20G/2.91G [00:25<00:26, 68.3MB/s]
- 41%|####1     | 1.21G/2.91G [00:25<00:32, 56.4MB/s]
- 42%|####1     | 1.21G/2.91G [00:25<00:30, 59.6MB/s]
- 42%|####1     | 1.22G/2.91G [00:26<00:49, 36.6MB/s]
- 42%|####2     | 1.23G/2.91G [00:26<00:36, 48.9MB/s]
- 42%|####2     | 1.24G/2.91G [00:26<00:40, 44.2MB/s]
- 43%|####2     | 1.25G/2.91G [00:26<00:32, 55.0MB/s]
- 43%|####3     | 1.26G/2.91G [00:26<00:24, 71.0MB/s]
- 44%|####3     | 1.27G/2.91G [00:27<00:28, 61.7MB/s]
- 44%|####3     | 1.28G/2.91G [00:27<00:26, 65.5MB/s]
- 44%|####4     | 1.29G/2.91G [00:27<00:33, 51.3MB/s]
- 45%|####4     | 1.30G/2.91G [00:27<00:29, 57.9MB/s]
- 45%|####4     | 1.30G/2.91G [00:27<00:33, 52.2MB/s]
- 45%|####5     | 1.31G/2.91G [00:27<00:33, 51.7MB/s]
- 45%|####5     | 1.32G/2.91G [00:28<00:30, 56.3MB/s]
- 46%|####5     | 1.33G/2.91G [00:28<00:31, 54.0MB/s]
- 46%|####5     | 1.33G/2.91G [00:28<00:44, 38.3MB/s]
- 46%|####6     | 1.34G/2.91G [00:28<00:31, 54.0MB/s]
- 46%|####6     | 1.35G/2.91G [00:28<00:30, 54.8MB/s]
- 47%|####6     | 1.36G/2.91G [00:28<00:27, 60.8MB/s]
- 47%|####6     | 1.36G/2.91G [00:29<00:47, 34.8MB/s]
- 47%|####7     | 1.37G/2.91G [00:29<00:37, 44.1MB/s]
- 47%|####7     | 1.38G/2.91G [00:29<00:34, 47.4MB/s]
- 48%|####7     | 1.39G/2.91G [00:29<00:29, 55.4MB/s]
- 48%|####7     | 1.39G/2.91G [00:29<00:44, 36.7MB/s]
- 48%|####8     | 1.41G/2.91G [00:30<00:31, 51.8MB/s]
- 49%|####8     | 1.41G/2.91G [00:30<00:37, 43.2MB/s]
- 49%|####8     | 1.42G/2.91G [00:30<00:33, 47.4MB/s]
- 49%|####9     | 1.43G/2.91G [00:30<00:38, 40.9MB/s]
- 49%|####9     | 1.43G/2.91G [00:30<00:35, 45.1MB/s]
- 49%|####9     | 1.44G/2.91G [00:30<00:33, 46.6MB/s]
- 50%|####9     | 1.45G/2.91G [00:30<00:22, 69.0MB/s]
- 50%|#####     | 1.46G/2.91G [00:31<00:33, 46.7MB/s]
- 50%|#####     | 1.47G/2.91G [00:31<00:33, 46.4MB/s]
- 51%|#####     | 1.47G/2.91G [00:31<00:34, 44.4MB/s]
- 51%|#####     | 1.48G/2.91G [00:31<00:35, 43.5MB/s]
- 51%|#####1    | 1.49G/2.91G [00:31<00:30, 50.8MB/s]
- 51%|#####1    | 1.50G/2.91G [00:32<00:25, 58.8MB/s]
- 52%|#####1    | 1.50G/2.91G [00:32<00:33, 44.5MB/s]
- 52%|#####1    | 1.51G/2.91G [00:32<00:32, 46.5MB/s]
- 52%|#####2    | 1.52G/2.91G [00:32<00:32, 46.4MB/s]
- 52%|#####2    | 1.52G/2.91G [00:32<00:40, 36.7MB/s]
- 52%|#####2    | 1.52G/2.91G [00:32<00:41, 35.4MB/s]
- 53%|#####2    | 1.53G/2.91G [00:33<00:36, 40.5MB/s]
- 53%|#####2    | 1.53G/2.91G [00:33<00:42, 34.5MB/s]
- 53%|#####2    | 1.54G/2.91G [00:33<00:34, 42.9MB/s]
- 53%|#####3    | 1.55G/2.91G [00:33<00:35, 41.7MB/s]
- 54%|#####3    | 1.56G/2.91G [00:33<00:25, 57.0MB/s]
- 54%|#####3    | 1.56G/2.91G [00:33<00:39, 37.0MB/s]
- 54%|#####3    | 1.57G/2.91G [00:34<00:37, 38.3MB/s]
- 54%|#####4    | 1.58G/2.91G [00:34<00:29, 47.9MB/s]
- 54%|#####4    | 1.59G/2.91G [00:34<00:24, 59.1MB/s]
- 55%|#####4    | 1.59G/2.91G [00:34<00:22, 63.1MB/s]
- 55%|#####4    | 1.60G/2.91G [00:34<00:27, 50.8MB/s]
- 55%|#####5    | 1.61G/2.91G [00:34<00:28, 48.7MB/s]
- 56%|#####5    | 1.62G/2.91G [00:34<00:24, 56.1MB/s]
- 56%|#####5    | 1.62G/2.91G [00:35<00:30, 45.2MB/s]
- 56%|#####6    | 1.64G/2.91G [00:35<00:21, 64.8MB/s]
- 57%|#####6    | 1.65G/2.91G [00:35<00:25, 53.4MB/s]
- 57%|#####6    | 1.65G/2.91G [00:35<00:25, 53.2MB/s]
- 57%|#####7    | 1.66G/2.91G [00:36<00:37, 35.9MB/s]
- 57%|#####7    | 1.67G/2.91G [00:36<00:31, 42.3MB/s]
- 58%|#####7    | 1.68G/2.91G [00:36<00:35, 37.7MB/s]
- 58%|#####7    | 1.68G/2.91G [00:36<00:32, 41.1MB/s]
+  0%|          | 11.6M/2.91G [00:00<00:25, 121MB/s]
+  1%|          | 23.2M/2.91G [00:00<00:53, 57.8MB/s]
+  1%|1         | 32.0M/2.91G [00:00<01:00, 50.8MB/s]
+  2%|1         | 44.9M/2.91G [00:00<00:43, 70.5MB/s]
+  2%|1         | 53.5M/2.91G [00:00<00:45, 67.9MB/s]
+  2%|2         | 64.0M/2.91G [00:01<00:51, 59.9MB/s]
+  3%|2         | 80.0M/2.91G [00:01<00:50, 60.2MB/s]
+  3%|2         | 87.1M/2.91G [00:01<00:48, 62.3MB/s]
+  3%|3         | 94.9M/2.91G [00:01<00:52, 57.3MB/s]
+  3%|3         | 101M/2.91G [00:01<01:01, 49.1MB/s]
+  4%|3         | 111M/2.91G [00:01<00:52, 57.2MB/s]
+  4%|3         | 117M/2.91G [00:02<01:01, 49.1MB/s]
+  4%|4         | 127M/2.91G [00:02<00:49, 60.2MB/s]
+  4%|4         | 134M/2.91G [00:02<00:56, 53.0MB/s]
+  5%|4         | 144M/2.91G [00:02<00:56, 53.0MB/s]
+  5%|5         | 155M/2.91G [00:02<00:45, 65.4MB/s]
+  5%|5         | 162M/2.91G [00:02<00:53, 54.8MB/s]
+  6%|5         | 176M/2.91G [00:03<00:47, 62.2MB/s]
+  6%|6         | 190M/2.91G [00:03<00:37, 78.4MB/s]
+  7%|6         | 198M/2.91G [00:03<00:45, 63.5MB/s]
+  7%|6         | 208M/2.91G [00:03<00:42, 68.6MB/s]
+  7%|7         | 215M/2.91G [00:03<00:56, 51.7MB/s]
+  8%|7         | 224M/2.91G [00:04<01:11, 40.3MB/s]
+  8%|7         | 229M/2.91G [00:04<01:11, 40.1MB/s]
+  8%|7         | 233M/2.91G [00:04<01:15, 38.1MB/s]
+  8%|8         | 239M/2.91G [00:04<01:07, 42.7MB/s]
+  8%|8         | 244M/2.91G [00:04<01:13, 39.3MB/s]
+  9%|8         | 256M/2.91G [00:04<00:53, 53.0MB/s]
+  9%|9         | 271M/2.91G [00:04<00:40, 69.9MB/s]
+  9%|9         | 278M/2.91G [00:05<00:50, 55.7MB/s]
+ 10%|9         | 284M/2.91G [00:05<01:05, 43.0MB/s]
+ 10%|9         | 289M/2.91G [00:05<01:10, 39.9MB/s]
+ 10%|#         | 299M/2.91G [00:05<01:07, 41.9MB/s]
+ 10%|#         | 304M/2.91G [00:06<01:08, 40.7MB/s]
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+ 11%|#         | 320M/2.91G [00:06<00:54, 51.0MB/s]
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+ 13%|#3        | 388M/2.91G [00:07<01:06, 40.7MB/s]
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+ 14%|#4        | 424M/2.91G [00:08<00:45, 59.5MB/s]
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+ 15%|#4        | 438M/2.91G [00:08<00:55, 47.7MB/s]
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+ 20%|##        | 596M/2.91G [00:12<01:03, 39.6MB/s]
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+ 21%|##        | 623M/2.91G [00:12<00:51, 48.2MB/s]
+ 21%|##1       | 628M/2.91G [00:12<00:57, 42.8MB/s]
+ 21%|##1       | 639M/2.91G [00:12<00:54, 44.7MB/s]
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+ 22%|##2       | 656M/2.91G [00:13<00:54, 44.3MB/s]
+ 22%|##2       | 660M/2.91G [00:13<01:03, 38.4MB/s]
+ 23%|##2       | 672M/2.91G [00:13<00:48, 50.0MB/s]
+ 23%|##2       | 677M/2.91G [00:13<00:58, 41.3MB/s]
+ 23%|##3       | 688M/2.91G [00:14<01:07, 35.4MB/s]
+ 23%|##3       | 692M/2.91G [00:14<01:11, 33.7MB/s]
+ 24%|##3       | 704M/2.91G [00:14<00:51, 46.2MB/s]
+ 24%|##3       | 709M/2.91G [00:14<00:57, 41.5MB/s]
+ 24%|##4       | 720M/2.91G [00:14<00:49, 47.6MB/s]
+ 24%|##4       | 725M/2.91G [00:15<00:51, 46.0MB/s]
+ 24%|##4       | 730M/2.91G [00:15<01:07, 35.1MB/s]
+ 25%|##4       | 733M/2.91G [00:15<01:24, 28.0MB/s]
+ 25%|##4       | 736M/2.91G [00:15<01:33, 25.2MB/s]
+ 25%|##5       | 751M/2.91G [00:16<00:55, 41.8MB/s]
+ 25%|##5       | 755M/2.91G [00:16<00:59, 39.4MB/s]
+ 26%|##5       | 768M/2.91G [00:16<00:49, 47.1MB/s]
+ 26%|##6       | 784M/2.91G [00:16<00:34, 67.1MB/s]
+ 27%|##6       | 791M/2.91G [00:16<00:47, 48.6MB/s]
+ 27%|##6       | 800M/2.91G [00:16<00:44, 51.5MB/s]
+ 27%|##7       | 812M/2.91G [00:17<00:35, 64.7MB/s]
+ 28%|##7       | 820M/2.91G [00:17<00:41, 54.4MB/s]
+ 28%|##7       | 831M/2.91G [00:17<00:35, 63.2MB/s]
+ 28%|##8       | 838M/2.91G [00:17<00:40, 56.0MB/s]
+ 28%|##8       | 847M/2.91G [00:17<00:38, 58.5MB/s]
+ 29%|##8       | 853M/2.91G [00:18<00:52, 42.7MB/s]
+ 29%|##8       | 863M/2.91G [00:18<00:47, 46.5MB/s]
+ 29%|##9       | 868M/2.91G [00:18<01:04, 34.1MB/s]
+ 30%|##9       | 880M/2.91G [00:18<00:56, 39.3MB/s]
+ 30%|###       | 896M/2.91G [00:18<00:43, 50.8MB/s]
+ 30%|###       | 901M/2.91G [00:19<00:45, 48.1MB/s]
+ 31%|###       | 912M/2.91G [00:19<00:40, 53.9MB/s]
+ 31%|###       | 917M/2.91G [00:19<00:48, 44.9MB/s]
+ 31%|###1      | 927M/2.91G [00:19<00:38, 55.5MB/s]
+ 31%|###1      | 934M/2.91G [00:19<00:49, 43.4MB/s]
+ 32%|###1      | 944M/2.91G [00:20<00:47, 44.6MB/s]
+ 32%|###1      | 949M/2.91G [00:20<00:54, 39.2MB/s]
+ 32%|###2      | 959M/2.91G [00:20<00:48, 43.7MB/s]
+ 32%|###2      | 964M/2.91G [00:20<00:58, 36.0MB/s]
+ 33%|###2      | 976M/2.91G [00:20<00:45, 46.4MB/s]
+ 33%|###3      | 992M/2.91G [00:21<00:37, 56.2MB/s]
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+ 34%|###4      | 0.99G/2.91G [00:21<00:40, 51.1MB/s]
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+ 41%|####1     | 1.19G/2.91G [00:25<00:29, 62.5MB/s]
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+ 42%|####2     | 1.23G/2.91G [00:26<00:30, 58.9MB/s]
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+ 44%|####4     | 1.28G/2.91G [00:27<00:25, 68.9MB/s]
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+ 46%|####6     | 1.34G/2.91G [00:29<00:44, 38.1MB/s]
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+ 58%|#####7    | 1.68G/2.91G [00:36<00:38, 34.7MB/s]
  58%|#####7    | 1.69G/2.91G [00:36<00:29, 44.8MB/s]
- 58%|#####8    | 1.69G/2.91G [00:36<00:26, 50.0MB/s]
- 58%|#####8    | 1.70G/2.91G [00:36<00:24, 52.5MB/s]
- 59%|#####8    | 1.71G/2.91G [00:37<00:27, 47.6MB/s]
- 59%|#####9    | 1.72G/2.91G [00:37<00:20, 62.8MB/s]
- 59%|#####9    | 1.72G/2.91G [00:37<00:25, 49.2MB/s]
- 60%|#####9    | 1.73G/2.91G [00:37<00:23, 53.2MB/s]
- 60%|#####9    | 1.74G/2.91G [00:37<00:24, 51.3MB/s]
- 60%|######    | 1.75G/2.91G [00:37<00:21, 58.1MB/s]
- 60%|######    | 1.75G/2.91G [00:38<00:27, 44.8MB/s]
- 61%|######    | 1.76G/2.91G [00:38<00:21, 57.0MB/s]
- 61%|######    | 1.77G/2.91G [00:38<00:25, 47.6MB/s]
- 61%|######1   | 1.78G/2.91G [00:38<00:21, 57.1MB/s]
- 61%|######1   | 1.79G/2.91G [00:38<00:25, 48.0MB/s]
- 62%|######1   | 1.79G/2.91G [00:38<00:24, 49.6MB/s]
- 62%|######1   | 1.80G/2.91G [00:38<00:24, 48.9MB/s]
- 62%|######1   | 1.80G/2.91G [00:39<00:24, 49.5MB/s]
- 62%|######2   | 1.81G/2.91G [00:39<00:24, 47.6MB/s]
- 63%|######2   | 1.82G/2.91G [00:39<00:17, 67.2MB/s]
- 63%|######2   | 1.83G/2.91G [00:39<00:18, 61.7MB/s]
- 63%|######3   | 1.83G/2.91G [00:39<00:22, 50.6MB/s]
- 63%|######3   | 1.84G/2.91G [00:39<00:24, 47.0MB/s]
- 63%|######3   | 1.84G/2.91G [00:39<00:26, 44.0MB/s]
- 64%|######3   | 1.86G/2.91G [00:40<00:16, 69.9MB/s]
- 64%|######4   | 1.87G/2.91G [00:40<00:25, 43.7MB/s]
- 64%|######4   | 1.87G/2.91G [00:40<00:23, 47.0MB/s]
- 65%|######4   | 1.88G/2.91G [00:40<00:26, 41.3MB/s]
- 65%|######4   | 1.89G/2.91G [00:40<00:21, 50.3MB/s]
- 65%|######5   | 1.90G/2.91G [00:40<00:19, 56.9MB/s]
- 65%|######5   | 1.90G/2.91G [00:41<00:19, 56.1MB/s]
- 66%|######5   | 1.91G/2.91G [00:41<00:25, 42.6MB/s]
- 66%|######6   | 1.92G/2.91G [00:41<00:21, 50.2MB/s]
- 66%|######6   | 1.93G/2.91G [00:41<00:28, 37.3MB/s]
- 67%|######6   | 1.94G/2.91G [00:41<00:22, 46.3MB/s]
- 67%|######6   | 1.94G/2.91G [00:42<00:24, 41.7MB/s]
- 67%|######7   | 1.95G/2.91G [00:42<00:22, 46.3MB/s]
- 67%|######7   | 1.96G/2.91G [00:42<00:27, 37.8MB/s]
- 68%|######7   | 1.97G/2.91G [00:42<00:20, 49.9MB/s]
- 68%|######7   | 1.97G/2.91G [00:43<00:28, 34.9MB/s]
- 68%|######8   | 1.98G/2.91G [00:43<00:22, 44.7MB/s]
- 68%|######8   | 1.99G/2.91G [00:43<00:22, 43.5MB/s]
- 69%|######8   | 1.99G/2.91G [00:43<00:25, 37.9MB/s]
- 69%|######8   | 2.00G/2.91G [00:43<00:28, 34.4MB/s]
- 69%|######8   | 2.00G/2.91G [00:43<00:25, 38.4MB/s]
- 69%|######9   | 2.01G/2.91G [00:43<00:19, 49.3MB/s]
- 69%|######9   | 2.02G/2.91G [00:44<00:22, 42.4MB/s]
- 70%|######9   | 2.02G/2.91G [00:44<00:30, 30.7MB/s]
- 70%|######9   | 2.03G/2.91G [00:44<00:35, 26.7MB/s]
- 70%|######9   | 2.03G/2.91G [00:44<00:33, 28.0MB/s]
- 70%|######9   | 2.03G/2.91G [00:44<00:35, 26.2MB/s]
- 70%|#######   | 2.04G/2.91G [00:45<00:32, 28.5MB/s]
- 70%|#######   | 2.05G/2.91G [00:45<00:26, 34.9MB/s]
- 70%|#######   | 2.05G/2.91G [00:45<00:23, 38.5MB/s]
- 71%|#######   | 2.06G/2.91G [00:45<00:23, 39.7MB/s]
- 71%|#######   | 2.06G/2.91G [00:45<00:18, 48.5MB/s]
- 71%|#######1  | 2.07G/2.91G [00:45<00:20, 44.9MB/s]
- 71%|#######1  | 2.08G/2.91G [00:45<00:16, 53.2MB/s]
- 72%|#######1  | 2.09G/2.91G [00:45<00:14, 62.1MB/s]
- 72%|#######1  | 2.09G/2.91G [00:46<00:16, 54.0MB/s]
- 72%|#######2  | 2.11G/2.91G [00:46<00:11, 74.5MB/s]
- 73%|#######2  | 2.12G/2.91G [00:46<00:16, 50.5MB/s]
- 73%|#######2  | 2.12G/2.91G [00:46<00:15, 53.9MB/s]
- 73%|#######3  | 2.13G/2.91G [00:46<00:17, 47.2MB/s]
- 74%|#######3  | 2.14G/2.91G [00:47<00:15, 54.3MB/s]
- 74%|#######3  | 2.15G/2.91G [00:47<00:11, 69.1MB/s]
- 74%|#######4  | 2.16G/2.91G [00:47<00:16, 49.0MB/s]
- 74%|#######4  | 2.17G/2.91G [00:47<00:17, 46.4MB/s]
- 75%|#######4  | 2.17G/2.91G [00:47<00:15, 49.6MB/s]
- 75%|#######4  | 2.18G/2.91G [00:47<00:15, 51.6MB/s]
- 75%|#######5  | 2.19G/2.91G [00:47<00:13, 57.7MB/s]
- 75%|#######5  | 2.19G/2.91G [00:48<00:16, 46.1MB/s]
- 76%|#######5  | 2.20G/2.91G [00:48<00:14, 53.6MB/s]
- 76%|#######5  | 2.20G/2.91G [00:48<00:18, 40.5MB/s]
- 76%|#######6  | 2.22G/2.91G [00:48<00:12, 58.0MB/s]
- 76%|#######6  | 2.22G/2.91G [00:48<00:15, 46.9MB/s]
- 77%|#######6  | 2.23G/2.91G [00:49<00:14, 49.1MB/s]
- 77%|#######6  | 2.24G/2.91G [00:49<00:16, 42.9MB/s]
- 77%|#######7  | 2.25G/2.91G [00:49<00:17, 41.7MB/s]
- 77%|#######7  | 2.25G/2.91G [00:49<00:18, 37.2MB/s]
- 78%|#######7  | 2.26G/2.91G [00:49<00:13, 50.3MB/s]
- 78%|#######8  | 2.27G/2.91G [00:50<00:16, 41.6MB/s]
- 78%|#######8  | 2.28G/2.91G [00:50<00:13, 49.5MB/s]
- 79%|#######8  | 2.29G/2.91G [00:50<00:16, 41.9MB/s]
- 79%|#######8  | 2.30G/2.91G [00:50<00:12, 54.4MB/s]
- 79%|#######9  | 2.30G/2.91G [00:50<00:18, 35.2MB/s]
- 79%|#######9  | 2.31G/2.91G [00:51<00:14, 45.3MB/s]
- 80%|#######9  | 2.33G/2.91G [00:51<00:10, 61.6MB/s]
- 80%|########  | 2.33G/2.91G [00:51<00:12, 50.2MB/s]
- 81%|########  | 2.34G/2.91G [00:51<00:11, 52.3MB/s]
- 81%|########  | 2.35G/2.91G [00:51<00:12, 49.3MB/s]
- 81%|########  | 2.36G/2.91G [00:51<00:12, 48.2MB/s]
- 81%|########1 | 2.36G/2.91G [00:51<00:12, 47.2MB/s]
- 82%|########1 | 2.38G/2.91G [00:52<00:08, 66.6MB/s]
- 82%|########1 | 2.38G/2.91G [00:52<00:10, 54.8MB/s]
- 82%|########2 | 2.39G/2.91G [00:52<00:09, 57.7MB/s]
- 82%|########2 | 2.40G/2.91G [00:52<00:09, 55.9MB/s]
- 83%|########2 | 2.40G/2.91G [00:52<00:14, 38.7MB/s]
- 83%|########2 | 2.41G/2.91G [00:53<00:16, 32.2MB/s]
- 83%|########3 | 2.42G/2.91G [00:53<00:11, 45.1MB/s]
- 83%|########3 | 2.43G/2.91G [00:53<00:13, 39.2MB/s]
- 84%|########3 | 2.44G/2.91G [00:53<00:09, 54.0MB/s]
- 84%|########3 | 2.44G/2.91G [00:53<00:09, 53.1MB/s]
- 84%|########4 | 2.45G/2.91G [00:53<00:08, 59.8MB/s]
- 85%|########4 | 2.47G/2.91G [00:54<00:06, 68.5MB/s]
- 85%|########5 | 2.47G/2.91G [00:54<00:07, 66.7MB/s]
- 85%|########5 | 2.48G/2.91G [00:54<00:07, 61.6MB/s]
- 86%|########5 | 2.49G/2.91G [00:54<00:09, 46.7MB/s]
- 86%|########5 | 2.49G/2.91G [00:54<00:09, 47.8MB/s]
- 86%|########5 | 2.50G/2.91G [00:54<00:11, 38.8MB/s]
- 86%|########6 | 2.51G/2.91G [00:55<00:08, 49.7MB/s]
- 87%|########6 | 2.52G/2.91G [00:55<00:05, 72.5MB/s]
- 87%|########6 | 2.53G/2.91G [00:55<00:05, 74.0MB/s]
- 87%|########7 | 2.54G/2.91G [00:55<00:04, 89.4MB/s]
- 88%|########7 | 2.55G/2.91G [00:55<00:06, 55.3MB/s]
- 88%|########8 | 2.56G/2.91G [00:55<00:06, 54.8MB/s]
- 88%|########8 | 2.57G/2.91G [00:56<00:07, 48.6MB/s]
- 89%|########8 | 2.58G/2.91G [00:56<00:07, 47.7MB/s]
- 89%|########8 | 2.58G/2.91G [00:56<00:07, 44.9MB/s]
- 89%|########9 | 2.59G/2.91G [00:56<00:06, 51.7MB/s]
- 89%|########9 | 2.60G/2.91G [00:56<00:05, 61.3MB/s]
- 90%|########9 | 2.61G/2.91G [00:56<00:05, 59.0MB/s]
- 90%|########9 | 2.62G/2.91G [00:57<00:04, 64.6MB/s]
- 90%|######### | 2.62G/2.91G [00:57<00:04, 61.7MB/s]
- 91%|######### | 2.63G/2.91G [00:57<00:04, 71.0MB/s]
- 91%|######### | 2.64G/2.91G [00:57<00:04, 59.4MB/s]
- 91%|#########1| 2.66G/2.91G [00:57<00:04, 66.6MB/s]
- 91%|#########1| 2.66G/2.91G [00:58<00:06, 42.1MB/s]
- 92%|#########1| 2.67G/2.91G [00:58<00:06, 42.8MB/s]
- 92%|#########1| 2.67G/2.91G [00:58<00:07, 36.4MB/s]
- 92%|#########2| 2.68G/2.91G [00:58<00:05, 41.5MB/s]
- 92%|#########2| 2.69G/2.91G [00:58<00:05, 47.7MB/s]
- 93%|#########2| 2.69G/2.91G [00:58<00:06, 36.8MB/s]
- 93%|#########2| 2.70G/2.91G [00:58<00:04, 46.7MB/s]
- 93%|#########3| 2.71G/2.91G [00:59<00:04, 44.9MB/s]
- 93%|#########3| 2.72G/2.91G [00:59<00:03, 53.9MB/s]
- 94%|#########3| 2.72G/2.91G [00:59<00:04, 41.4MB/s]
- 94%|#########3| 2.73G/2.91G [00:59<00:03, 48.9MB/s]
- 94%|#########4| 2.74G/2.91G [00:59<00:04, 44.3MB/s]
- 94%|#########4| 2.74G/2.91G [00:59<00:03, 47.9MB/s]
- 94%|#########4| 2.75G/2.91G [01:00<00:03, 49.1MB/s]
- 95%|#########4| 2.75G/2.91G [01:00<00:04, 40.3MB/s]
- 95%|#########5| 2.77G/2.91G [01:00<00:02, 51.8MB/s]
- 95%|#########5| 2.78G/2.91G [01:00<00:02, 63.4MB/s]
- 96%|#########5| 2.78G/2.91G [01:00<00:02, 55.7MB/s]
- 96%|#########5| 2.79G/2.91G [01:00<00:01, 64.3MB/s]
- 96%|#########6| 2.80G/2.91G [01:01<00:02, 49.1MB/s]
- 96%|#########6| 2.80G/2.91G [01:01<00:02, 38.5MB/s]
- 97%|#########6| 2.81G/2.91G [01:01<00:02, 51.0MB/s]
- 97%|#########6| 2.82G/2.91G [01:01<00:02, 45.4MB/s]
- 97%|#########7| 2.83G/2.91G [01:01<00:01, 51.2MB/s]
- 97%|#########7| 2.83G/2.91G [01:01<00:01, 52.1MB/s]
- 98%|#########7| 2.84G/2.91G [01:02<00:01, 44.5MB/s]
- 98%|#########7| 2.85G/2.91G [01:02<00:01, 38.2MB/s]
- 98%|#########8| 2.85G/2.91G [01:02<00:01, 46.6MB/s]
- 98%|#########8| 2.86G/2.91G [01:02<00:01, 43.1MB/s]
- 98%|#########8| 2.86G/2.91G [01:02<00:01, 38.8MB/s]
- 99%|#########8| 2.87G/2.91G [01:02<00:00, 46.9MB/s]
- 99%|#########8| 2.88G/2.91G [01:03<00:00, 37.9MB/s]
- 99%|#########9| 2.89G/2.91G [01:03<00:00, 34.2MB/s]
- 99%|#########9| 2.89G/2.91G [01:03<00:00, 33.6MB/s]
-100%|#########9| 2.90G/2.91G [01:03<00:00, 49.6MB/s]
-100%|##########| 2.91G/2.91G [01:04<00:00, 48.7MB/s]
+ 58%|#####8    | 1.69G/2.91G [00:37<00:31, 41.4MB/s]
+ 59%|#####8    | 1.70G/2.91G [00:37<00:23, 55.9MB/s]
+ 59%|#####8    | 1.71G/2.91G [00:37<00:24, 52.5MB/s]
+ 59%|#####9    | 1.72G/2.91G [00:37<00:26, 48.4MB/s]
+ 60%|#####9    | 1.73G/2.91G [00:37<00:20, 60.9MB/s]
+ 60%|#####9    | 1.74G/2.91G [00:37<00:20, 61.9MB/s]
+ 60%|######    | 1.75G/2.91G [00:38<00:26, 47.4MB/s]
+ 60%|######    | 1.75G/2.91G [00:38<00:40, 30.8MB/s]
+ 61%|######    | 1.76G/2.91G [00:38<00:30, 41.0MB/s]
+ 61%|######    | 1.77G/2.91G [00:38<00:34, 35.8MB/s]
+ 61%|######1   | 1.78G/2.91G [00:39<00:28, 42.4MB/s]
+ 61%|######1   | 1.79G/2.91G [00:39<00:30, 39.6MB/s]
+ 62%|######1   | 1.80G/2.91G [00:39<00:29, 40.6MB/s]
+ 62%|######1   | 1.80G/2.91G [00:39<00:31, 38.0MB/s]
+ 62%|######2   | 1.81G/2.91G [00:39<00:25, 45.7MB/s]
+ 62%|######2   | 1.82G/2.91G [00:39<00:25, 45.2MB/s]
+ 63%|######2   | 1.82G/2.91G [00:40<00:24, 48.7MB/s]
+ 63%|######2   | 1.83G/2.91G [00:40<00:23, 49.7MB/s]
+ 63%|######3   | 1.84G/2.91G [00:40<00:18, 62.8MB/s]
+ 63%|######3   | 1.84G/2.91G [00:40<00:26, 43.2MB/s]
+ 64%|######3   | 1.85G/2.91G [00:40<00:20, 55.5MB/s]
+ 64%|######3   | 1.86G/2.91G [00:40<00:23, 47.9MB/s]
+ 64%|######4   | 1.87G/2.91G [00:41<00:19, 57.7MB/s]
+ 64%|######4   | 1.88G/2.91G [00:41<00:32, 34.0MB/s]
+ 65%|######4   | 1.89G/2.91G [00:41<00:24, 45.5MB/s]
+ 65%|######5   | 1.90G/2.91G [00:41<00:25, 42.6MB/s]
+ 65%|######5   | 1.91G/2.91G [00:41<00:22, 48.9MB/s]
+ 66%|######5   | 1.91G/2.91G [00:42<00:24, 43.8MB/s]
+ 66%|######5   | 1.92G/2.91G [00:42<00:22, 47.5MB/s]
+ 66%|######6   | 1.92G/2.91G [00:42<00:25, 40.9MB/s]
+ 66%|######6   | 1.93G/2.91G [00:42<00:18, 58.2MB/s]
+ 67%|######6   | 1.94G/2.91G [00:42<00:25, 40.7MB/s]
+ 67%|######7   | 1.95G/2.91G [00:43<00:20, 49.2MB/s]
+ 67%|######7   | 1.96G/2.91G [00:43<00:23, 42.7MB/s]
+ 67%|######7   | 1.96G/2.91G [00:43<00:27, 37.1MB/s]
+ 68%|######7   | 1.97G/2.91G [00:43<00:26, 38.0MB/s]
+ 68%|######7   | 1.98G/2.91G [00:43<00:23, 43.1MB/s]
+ 68%|######8   | 1.98G/2.91G [00:43<00:24, 40.6MB/s]
+ 68%|######8   | 1.99G/2.91G [00:44<00:25, 38.3MB/s]
+ 68%|######8   | 1.99G/2.91G [00:44<00:28, 34.3MB/s]
+ 69%|######8   | 1.99G/2.91G [00:44<00:30, 32.1MB/s]
+ 69%|######8   | 2.00G/2.91G [00:44<00:35, 27.8MB/s]
+ 69%|######9   | 2.01G/2.91G [00:44<00:24, 39.6MB/s]
+ 69%|######9   | 2.02G/2.91G [00:45<00:25, 38.1MB/s]
+ 70%|######9   | 2.02G/2.91G [00:45<00:26, 36.2MB/s]
+ 70%|######9   | 2.03G/2.91G [00:45<00:30, 31.5MB/s]
+ 70%|######9   | 2.03G/2.91G [00:45<00:34, 27.5MB/s]
+ 70%|#######   | 2.05G/2.91G [00:45<00:22, 41.7MB/s]
+ 70%|#######   | 2.05G/2.91G [00:46<00:26, 35.3MB/s]
+ 71%|#######   | 2.06G/2.91G [00:46<00:25, 36.4MB/s]
+ 71%|#######   | 2.06G/2.91G [00:46<00:23, 39.3MB/s]
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+ 72%|#######1  | 2.08G/2.91G [00:46<00:19, 45.1MB/s]
+ 72%|#######1  | 2.09G/2.91G [00:46<00:17, 49.5MB/s]
+ 72%|#######2  | 2.11G/2.91G [00:47<00:13, 64.5MB/s]
+ 73%|#######2  | 2.11G/2.91G [00:47<00:22, 38.1MB/s]
+ 73%|#######2  | 2.12G/2.91G [00:47<00:18, 46.2MB/s]
+ 73%|#######3  | 2.13G/2.91G [00:47<00:19, 42.3MB/s]
+ 74%|#######3  | 2.14G/2.91G [00:48<00:23, 34.9MB/s]
+ 74%|#######3  | 2.14G/2.91G [00:48<00:26, 30.9MB/s]
+ 74%|#######4  | 2.16G/2.91G [00:48<00:21, 38.4MB/s]
+ 74%|#######4  | 2.16G/2.91G [00:48<00:24, 33.2MB/s]
+ 74%|#######4  | 2.17G/2.91G [00:49<00:21, 37.0MB/s]
+ 75%|#######4  | 2.17G/2.91G [00:49<00:22, 34.5MB/s]
+ 75%|#######4  | 2.18G/2.91G [00:49<00:18, 42.0MB/s]
+ 75%|#######5  | 2.19G/2.91G [00:49<00:19, 39.9MB/s]
+ 75%|#######5  | 2.19G/2.91G [00:49<00:22, 34.7MB/s]
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+ 76%|#######5  | 2.21G/2.91G [00:50<00:17, 42.6MB/s]
+ 76%|#######6  | 2.22G/2.91G [00:50<00:14, 50.5MB/s]
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+ 77%|#######7  | 2.25G/2.91G [00:51<00:18, 39.3MB/s]
+ 77%|#######7  | 2.25G/2.91G [00:51<00:19, 35.6MB/s]
+ 78%|#######7  | 2.27G/2.91G [00:51<00:17, 40.1MB/s]
+ 78%|#######8  | 2.28G/2.91G [00:52<00:18, 36.4MB/s]
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+ 79%|#######8  | 2.30G/2.91G [00:52<00:13, 48.3MB/s]
+ 79%|#######9  | 2.30G/2.91G [00:52<00:14, 46.4MB/s]
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+ 80%|########  | 2.33G/2.91G [00:53<00:17, 36.4MB/s]
+ 81%|########  | 2.34G/2.91G [00:53<00:15, 40.0MB/s]
+ 81%|########  | 2.35G/2.91G [00:53<00:15, 37.9MB/s]
+ 81%|########  | 2.35G/2.91G [00:54<00:17, 33.9MB/s]
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+ 82%|########1 | 2.38G/2.91G [00:54<00:12, 46.4MB/s]
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+ 96%|#########5| 2.79G/2.91G [01:05<00:02, 52.4MB/s]
+ 96%|#########6| 2.80G/2.91G [01:05<00:03, 38.2MB/s]
+ 96%|#########6| 2.80G/2.91G [01:05<00:02, 39.3MB/s]
+ 96%|#########6| 2.81G/2.91G [01:05<00:02, 37.7MB/s]
+ 97%|#########6| 2.81G/2.91G [01:05<00:02, 36.5MB/s]
+ 97%|#########6| 2.82G/2.91G [01:05<00:02, 39.9MB/s]
+ 97%|#########7| 2.83G/2.91G [01:05<00:01, 53.6MB/s]
+ 97%|#########7| 2.83G/2.91G [01:06<00:01, 48.3MB/s]
+ 98%|#########7| 2.84G/2.91G [01:06<00:01, 48.1MB/s]
+ 98%|#########7| 2.84G/2.91G [01:06<00:01, 43.0MB/s]
+ 98%|#########8| 2.85G/2.91G [01:06<00:01, 55.7MB/s]
+ 98%|#########8| 2.86G/2.91G [01:06<00:01, 43.4MB/s]
+ 98%|#########8| 2.86G/2.91G [01:06<00:01, 39.3MB/s]
+ 99%|#########8| 2.87G/2.91G [01:07<00:00, 51.9MB/s]
+ 99%|#########8| 2.88G/2.91G [01:07<00:00, 41.1MB/s]
+ 99%|#########9| 2.88G/2.91G [01:07<00:00, 41.3MB/s]
+ 99%|#########9| 2.89G/2.91G [01:07<00:00, 35.4MB/s]
+100%|#########9| 2.91G/2.91G [01:07<00:00, 48.8MB/s]
+100%|##########| 2.91G/2.91G [01:08<00:00, 45.8MB/s]
 PretrainedFiles(lexicon='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lexicon.txt', tokens='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/tokens.txt', lm='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lm.bin')
 

 

@@ -1395,10 +1379,10 @@ 
beam sizeprint_decoded(beam_search_decoder, emission, "beam size", beam_size)
-
beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0444 secs)
-beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0513 secs)
-beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1642 secs)
-beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5334 secs)
+
beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0448 secs)
+beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0496 secs)
+beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1575 secs)
+beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5256 secs)
@@ -1424,10 +1408,10 @@

beam size tokenprint_decoded(beam_search_decoder, emission, "beam size token", beam_size_token)

-
beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1596 secs)
-beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1801 secs)
-beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.1991 secs)
-beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2304 secs)
+
beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1519 secs)
+beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1706 secs)
+beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.1892 secs)
+beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2202 secs)
 

 

 
@@ -1454,10 +1438,10 @@ 
beam thresholdprint_decoded(beam_search_decoder, emission, "beam threshold", beam_threshold)
-
beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0284 secs)
-beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0647 secs)
-beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2124 secs)
-beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2349 secs)
+
beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0263 secs)
+beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0556 secs)
+beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2025 secs)
+beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2220 secs)
 

 

 
@@ -1482,9 +1466,9 @@ 
language model weightprint_decoded(beam_search_decoder, emission, "lm weight", lm_weight)
-
lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2570 secs)
-lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2630 secs)
-lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2428 secs)
+
lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2440 secs)
+lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2539 secs)
+lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2318 secs)
 

 

 
@@ -1497,7 +1481,7 @@ 
additional parameters
sil_score: silence appearance score to add

 
  • log_add: whether to use log add for lexicon Trie smearing
    • 
 
-
    Total running time of the script: ( 3 minutes  0.134 seconds)
    
+
    Total running time of the script: ( 3 minutes  0.838 seconds)
    -
    2.4.0.dev20240423
-2.2.0.dev20240424
+
    2.4.0.dev20240508
+2.2.0.dev20240509
 
    
 
    
 
    import time
@@ -530,14 +530,27 @@ 
    Acoustic Model and Set Up
      0%|          | 0.00/269M [00:00<?, ?B/s]
- 12%|#2        | 33.4M/269M [00:00<00:00, 349MB/s]
- 25%|##4       | 66.8M/269M [00:00<00:00, 321MB/s]
- 37%|###7      | 100M/269M [00:00<00:00, 335MB/s]
- 53%|#####2    | 142M/269M [00:00<00:00, 372MB/s]
- 66%|######5   | 177M/269M [00:00<00:00, 368MB/s]
- 79%|#######8  | 213M/269M [00:00<00:00, 342MB/s]
- 91%|#########1| 246M/269M [00:00<00:00, 326MB/s]
-100%|##########| 269M/269M [00:00<00:00, 338MB/s]
+  5%|5         | 14.4M/269M [00:00<00:01, 150MB/s]
+ 11%|#         | 28.8M/269M [00:00<00:06, 37.2MB/s]
+ 19%|#8        | 50.0M/269M [00:01<00:05, 43.7MB/s]
+ 24%|##3       | 63.6M/269M [00:01<00:03, 57.0MB/s]
+ 28%|##7       | 75.0M/269M [00:01<00:05, 34.1MB/s]
+ 37%|###6      | 99.5M/269M [00:02<00:03, 54.7MB/s]
+ 41%|####      | 109M/269M [00:02<00:04, 36.0MB/s]
+ 46%|####6     | 125M/269M [00:03<00:04, 32.8MB/s]
+ 49%|####8     | 131M/269M [00:03<00:04, 30.9MB/s]
+ 55%|#####5    | 149M/269M [00:03<00:02, 46.0MB/s]
+ 58%|#####8    | 158M/269M [00:04<00:03, 35.6MB/s]
+ 61%|######    | 164M/269M [00:04<00:03, 34.7MB/s]
+ 65%|######4   | 175M/269M [00:04<00:03, 30.3MB/s]
+ 74%|#######3  | 199M/269M [00:05<00:01, 52.8MB/s]
+ 77%|#######7  | 209M/269M [00:05<00:02, 31.3MB/s]
+ 84%|########3 | 225M/269M [00:06<00:01, 27.3MB/s]
+ 91%|#########1| 245M/269M [00:06<00:00, 40.0MB/s]
+ 94%|#########4| 254M/269M [00:07<00:00, 36.4MB/s]
+ 98%|#########7| 263M/269M [00:07<00:00, 39.4MB/s]
+100%|#########9| 269M/269M [00:07<00:00, 41.4MB/s]
+100%|##########| 269M/269M [00:07<00:00, 38.5MB/s]
 
    
 
    
 
    We will load a sample from the LibriSpeech test-other dataset.
    
@@ -548,7 +561,7 @@ 
    Acoustic Model and Set Up
      0%|          | 0.00/441k [00:00<?, ?B/s]
-100%|##########| 441k/441k [00:00<00:00, 47.0MB/s]
+100%|##########| 441k/441k [00:00<00:00, 65.3MB/s]
 
    
 
    
 
    
@@ -597,7 +610,7 @@ 
    Tokens
    
 
      0%|          | 0.00/239k [00:00<?, ?B/s]
-100%|##########| 239k/239k [00:00<00:00, 190MB/s]
+100%|##########| 239k/239k [00:00<00:00, 103MB/s]
 ['<blk>', '<sos/eos>', '<unk>', 'S', 'ā–THE', 'ā–A', 'T', 'ā–AND', 'ED', 'ā–OF', 'ā–TO', 'E', 'D', 'N', 'ING', 'ā–IN', 'Y', 'M', 'C', 'ā–I', 'A', 'P', 'ā–HE', 'R', 'O', 'L', 'RE', 'I', 'U', 'ER', 'ā–IT', 'LY', 'ā–THAT', 'ā–WAS', 'ā–', 'ā–S', 'AR', 'ā–BE', 'F', 'ā–C', 'IN', 'B', 'ā–FOR', 'OR', 'LE', "'", 'ā–HIS', 'ā–YOU', 'AL', 'ā–RE', 'V', 'ā–B', 'G', 'RI', 'ā–E', 'ā–WITH', 'ā–T', 'ā–AS', 'LL', 'ā–P', 'ā–HER', 'ST', 'ā–HAD', 'ā–SO', 'ā–F', 'W', 'CE', 'ā–IS', 'ND', 'ā–NOT', 'TH', 'ā–BUT', 'EN', 'ā–SHE', 'ā–ON', 'VE', 'ON', 'SE', 'ā–DE', 'UR', 'ā–G', 'CH', 'K', 'TER', 'ā–AT', 'IT', 'ā–ME', 'RO', 'NE', 'RA', 'ES', 'IL', 'NG', 'IC', 'ā–NO', 'ā–HIM', 'ENT', 'IR', 'ā–WE', 'H', 'ā–DO', 'ā–ALL', 'ā–HAVE', 'LO', 'ā–BY', 'ā–MY', 'ā–MO', 'ā–THIS', 'LA', 'ā–ST', 'ā–WHICH', 'ā–CON', 'ā–THEY', 'CK', 'TE', 'ā–SAID', 'ā–FROM', 'ā–GO', 'ā–WHO', 'ā–TH', 'ā–OR', 'ā–D', 'ā–W', 'VER', 'LI', 'ā–SE', 'ā–ONE', 'ā–CA', 'ā–AN', 'ā–LA', 'ā–WERE', 'EL', 'ā–HA', 'ā–MAN', 'ā–FA', 'ā–EX', 'AD', 'ā–SU', 'RY', 'ā–MI', 'AT', 'ā–BO', 'ā–WHEN', 'AN', 'THER', 'PP', 'ATION', 'ā–FI', 'ā–WOULD', 'ā–PRO', 'OW', 'ET', 'ā–O', 'ā–THERE', 'ā–HO', 'ION', 'ā–WHAT', 'ā–FE', 'ā–PA', 'US', 'MENT', 'ā–MA', 'UT', 'ā–OUT', 'ā–THEIR', 'ā–IF', 'ā–LI', 'ā–K', 'ā–WILL', 'ā–ARE', 'ID', 'ā–RO', 'DE', 'TION', 'ā–WA', 'PE', 'ā–UP', 'ā–SP', 'ā–PO', 'IGHT', 'ā–UN', 'RU', 'ā–LO', 'AS', 'OL', 'ā–LE', 'ā–BEEN', 'ā–SH', 'ā–RA', 'ā–SEE', 'KE', 'UL', 'TED', 'ā–SA', 'UN', 'UND', 'ANT', 'ā–NE', 'IS', 'ā–THEM', 'CI', 'GE', 'ā–COULD', 'ā–DIS', 'OM', 'ISH', 'HE', 'EST', 'ā–SOME', 'ENCE', 'ITY', 'IVE', 'ā–US', 'ā–MORE', 'ā–EN', 'ARD', 'ATE', 'ā–YOUR', 'ā–INTO', 'ā–KNOW', 'ā–CO', 'ANCE', 'ā–TIME', 'ā–WI', 'ā–YE', 'AGE', 'ā–NOW', 'TI', 'FF', 'ABLE', 'ā–VERY', 'ā–LIKE', 'AM', 'HI', 'Z', 'ā–OTHER', 'ā–THAN', 'ā–LITTLE', 'ā–DID', 'ā–LOOK', 'TY', 'ERS', 'ā–CAN', 'ā–CHA', 'ā–AR', 'X', 'FUL', 'UGH', 'ā–BA', 'ā–DAY', 'ā–ABOUT', 'TEN', 'IM', 'ā–ANY', 'ā–PRE', 'ā–OVER', 'IES', 'NESS', 'ME', 'BLE', 'ā–M', 'ROW', 'ā–HAS', 'ā–GREAT', 'ā–VI', 'TA', 'ā–AFTER', 'PER', 'ā–AGAIN', 'HO', 'SH', 'ā–UPON', 'ā–DI', 'ā–HAND', 'ā–COM', 'IST', 'TURE', 'ā–STA', 'ā–THEN', 'ā–SHOULD', 'ā–GA', 'OUS', 'OUR', 'ā–WELL', 'ā–ONLY', 'MAN', 'ā–GOOD', 'ā–TWO', 'ā–MAR', 'ā–SAY', 'ā–HU', 'TING', 'ā–OUR', 'RESS', 'ā–DOWN', 'IOUS', 'ā–BEFORE', 'ā–DA', 'ā–NA', 'QUI', 'ā–MADE', 'ā–EVERY', 'ā–OLD', 'ā–EVEN', 'IG', 'ā–COME', 'ā–GRA', 'ā–RI', 'ā–LONG', 'OT', 'SIDE', 'WARD', 'ā–FO', 'ā–WHERE', 'MO', 'LESS', 'ā–SC', 'ā–MUST', 'ā–NEVER', 'ā–HOW', 'ā–CAME', 'ā–SUCH', 'ā–RU', 'ā–TAKE', 'ā–WO', 'ā–CAR', 'UM', 'AK', 'ā–THINK', 'ā–MUCH', 'ā–MISTER', 'ā–MAY', 'ā–JO', 'ā–WAY', 'ā–COMP', 'ā–THOUGHT', 'ā–STO', 'ā–MEN', 'ā–BACK', 'ā–DON', 'J', 'ā–LET', 'ā–TRA', 'ā–FIRST', 'ā–JUST', 'ā–VA', 'ā–OWN', 'ā–PLA', 'ā–MAKE', 'ATED', 'ā–HIMSELF', 'ā–WENT', 'ā–PI', 'GG', 'RING', 'ā–DU', 'ā–MIGHT', 'ā–PART', 'ā–GIVE', 'ā–IMP', 'ā–BU', 'ā–PER', 'ā–PLACE', 'ā–HOUSE', 'ā–THROUGH', 'IAN', 'ā–SW', 'ā–UNDER', 'QUE', 'ā–AWAY', 'ā–LOVE', 'QUA', 'ā–LIFE', 'ā–GET', 'ā–WITHOUT', 'ā–PASS', 'ā–TURN', 'IGN', 'ā–HEAD', 'ā–MOST', 'ā–THOSE', 'ā–SHALL', 'ā–EYES', 'ā–COL', 'ā–STILL', 'ā–NIGHT', 'ā–NOTHING', 'ITION', 'HA', 'ā–TELL', 'ā–WORK', 'ā–LAST', 'ā–NEW', 'ā–FACE', 'ā–HI', 'ā–WORD', 'ā–FOUND', 'ā–COUNT', 'ā–OB', 'ā–WHILE', 'ā–SHA', 'ā–MEAN', 'ā–SAW', 'ā–PEOPLE', 'ā–FRIEND', 'ā–THREE', 'ā–ROOM', 'ā–SAME', 'ā–THOUGH', 'ā–RIGHT', 'ā–CHILD', 'ā–FATHER', 'ā–ANOTHER', 'ā–HEART', 'ā–WANT', 'ā–TOOK', 'OOK', 'ā–LIGHT', 'ā–MISSUS', 'ā–OPEN', 'ā–JU', 'ā–ASKED', 'PORT', 'ā–LEFT', 'ā–JA', 'ā–WORLD', 'ā–HOME', 'ā–WHY', 'ā–ALWAYS', 'ā–ANSWER', 'ā–SEEMED', 'ā–SOMETHING', 'ā–GIRL', 'ā–BECAUSE', 'ā–NAME', 'ā–TOLD', 'ā–NI', 'ā–HIGH', 'IZE', 'ā–WOMAN', 'ā–FOLLOW', 'ā–RETURN', 'ā–KNEW', 'ā–EACH', 'ā–KIND', 'ā–JE', 'ā–ACT', 'ā–LU', 'ā–CERTAIN', 'ā–YEARS', 'ā–QUITE', 'ā–APPEAR', 'ā–BETTER', 'ā–HALF', 'ā–PRESENT', 'ā–PRINCE', 'SHIP', 'ā–ALSO', 'ā–BEGAN', 'ā–HAVING', 'ā–ENOUGH', 'ā–PERSON', 'ā–LADY', 'ā–WHITE', 'ā–COURSE', 'ā–VOICE', 'ā–SPEAK', 'ā–POWER', 'ā–MORNING', 'ā–BETWEEN', 'ā–AMONG', 'ā–KEEP', 'ā–WALK', 'ā–MATTER', 'ā–TEA', 'ā–BELIEVE', 'ā–SMALL', 'ā–TALK', 'ā–FELT', 'ā–HORSE', 'ā–MYSELF', 'ā–SIX', 'ā–HOWEVER', 'ā–FULL', 'ā–HERSELF', 'ā–POINT', 'ā–STOOD', 'ā–HUNDRED', 'ā–ALMOST', 'ā–SINCE', 'ā–LARGE', 'ā–LEAVE', 'ā–PERHAPS', 'ā–DARK', 'ā–SUDDEN', 'ā–REPLIED', 'ā–ANYTHING', 'ā–WONDER', 'ā–UNTIL', 'Q']
    @@ -727,7 +740,7 @@

    beam sizeprint_decoded(beam_search_decoder, bpe_model, log_prob, encoder_out_lens, "beam size", beam_size)

    -
    beam size 1  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -1.35; 0.0009 secs)
+
    beam size 1  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -1.35; 0.0010 secs)
 beam size 2  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.21; 0.0009 secs)
 beam size 3  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0009 secs)
 beam size 10 : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0010 secs)
@@ -756,7 +769,7 @@ 
    blank skip thresholddel cuda_decoder
 
    
 
    
-
    blank_skip_threshold 0.25: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: -0.01; 0.0009 secs)
+
    blank_skip_threshold 0.25: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: -0.01; 0.0010 secs)
 blank_skip_threshold 0.95: i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0010 secs)
 blank_skip_threshold 1.0: i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.21; 0.0043 secs)
 
    
@@ -804,7 +817,7 @@ 
    Benchmark with flashlight CPU decoderTotal running time of the script: ( 0 minutes  2.491 seconds)
    
+
    Total running time of the script: ( 0 minutes  9.191 seconds)
    
 
    
 
    
-
    2.4.0.dev20240423
-2.2.0.dev20240424
+
    2.4.0.dev20240508
+2.2.0.dev20240509
 
    
 
    
 
    
@@ -496,13 +496,13 @@ 
    Preparation
      0%|          | 0.00/427k [00:00<?, ?B/s]
-100%|##########| 427k/427k [00:00<00:00, 41.1MB/s]
+100%|##########| 427k/427k [00:00<00:00, 28.2MB/s]
 
   0%|          | 0.00/31.3k [00:00<?, ?B/s]
-100%|##########| 31.3k/31.3k [00:00<00:00, 19.0MB/s]
+100%|##########| 31.3k/31.3k [00:00<00:00, 26.4MB/s]
 
   0%|          | 0.00/78.2k [00:00<?, ?B/s]
-100%|##########| 78.2k/78.2k [00:00<00:00, 12.9MB/s]
+100%|##########| 78.2k/78.2k [00:00<00:00, 18.2MB/s]
 
    
 
    
 
@@ -1046,7 +1046,7 @@ 
    Codec appliedTotal running time of the script: ( 0 minutes  14.695 seconds)
    
+
    Total running time of the script: ( 0 minutes  14.555 seconds)
    -
    2.4.0.dev20240423
-2.2.0.dev20240424
+
    2.4.0.dev20240508
+2.2.0.dev20240509
 
    
 
    
 
    import os
@@ -505,11 +505,10 @@
 
    
 
    
 
      0%|          | 0.00/4.49M [00:00<?, ?B/s]
-  3%|2         | 128k/4.49M [00:00<00:08, 526kB/s]
- 11%|#1        | 512k/4.49M [00:00<00:02, 1.42MB/s]
- 33%|###3      | 1.50M/4.49M [00:00<00:00, 4.08MB/s]
- 81%|########  | 3.62M/4.49M [00:00<00:00, 8.29MB/s]
-100%|##########| 4.49M/4.49M [00:00<00:00, 7.05MB/s]
+  3%|2         | 128k/4.49M [00:00<00:08, 564kB/s]
+ 11%|#1        | 512k/4.49M [00:00<00:02, 1.52MB/s]
+ 39%|###9      | 1.75M/4.49M [00:00<00:00, 4.36MB/s]
+100%|##########| 4.49M/4.49M [00:00<00:00, 7.54MB/s]
 
    
 
    
 
    i = 1
@@ -557,7 +556,7 @@
 
 
    
 
    
-
    Total running time of the script: ( 0 minutes  1.829 seconds)
    
+
    Total running time of the script: ( 0 minutes  1.840 seconds)
    -
    2.4.0.dev20240423
-2.2.0.dev20240424
+
    2.4.0.dev20240508
+2.2.0.dev20240509
 
    
 
    
 
    
@@ -638,7 +638,7 @@ 
    Time and Frequency Maskingplot()
    -Original, Masked along time axis, Masked along frequency axis

    Total running time of the script: ( 0 minutes 2.270 seconds)

    +Original, Masked along time axis, Masked along frequency axis

    Total running time of the script: ( 0 minutes 2.223 seconds)

     
      0%|          | 0.00/9.22M [00:00<?, ?B/s]
- 98%|#########7| 9.00M/9.22M [00:00<00:00, 58.6MB/s]
-100%|##########| 9.22M/9.22M [00:00<00:00, 58.6MB/s]
+ 61%|######    | 5.62M/9.22M [00:00<00:00, 58.8MB/s]
+100%|##########| 9.22M/9.22M [00:00<00:00, 68.2MB/s]
 Testing: testsrc2_xga.h264.mp4
 * Software decoding (num_threads=1)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 2.72 seconds. (330.44 fps)
+ - Processed 900 frames in 2.68 seconds. (335.91 fps)
 * Software decoding (num_threads=4)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 1.25 seconds. (720.46 fps)
+ - Processed 900 frames in 1.31 seconds. (686.82 fps)
 * Software decoding (num_threads=8)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 1.27 seconds. (710.91 fps)
+ - Processed 900 frames in 1.26 seconds. (713.46 fps)
 * Software decoding (num_threads=16)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 895 frames in 1.30 seconds. (687.98 fps)
+ - Processed 895 frames in 1.25 seconds. (718.32 fps)
 * Hardware decoding
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 0.62 seconds. (1446.94 fps)
+ - Processed 900 frames in 0.61 seconds. (1478.69 fps)
    @@ -1058,7 +1057,7 @@

    Decode and resize

  • Decode video using software decoder and read the frames as PyTorch Tensor. Resize the tensor using -torch.nn.functional.interpolate(), then send +torch.nn.functional.interpolate(), then send the resulting tensor to CUDA device.

  • Decode video using software decoder, resize the frame with FFmpegā€™s filter graph, read the resized frames as PyTorch tensor, @@ -1072,7 +1071,7 @@

    Decode and resizetorch.nn.functional.interpolate(). +torch.nn.functional.interpolate(). We use bincubic mode, as we saw that the resulting frames are closest to NVDEC resizing.

    def test_decode_then_resize(src, height, width, mode="bicubic", frames_per_chunk=5):
@@ -1159,13 +1158,13 @@ 
    QVGAĀ¶
    Testing: testsrc2_qvga.h264.mp4
 * Software decoding with PyTorch interpolate
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.65 seconds. (1386.15 fps)
+ - Processed 900 frames in 0.70 seconds. (1289.64 fps)
 * Software decoding with FFmpeg scale
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.38 seconds. (2339.20 fps)
+ - Processed 900 frames in 0.41 seconds. (2218.98 fps)
 * Hardware decoding with resize
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 2.01 seconds. (447.17 fps)
+ - Processed 900 frames in 2.01 seconds. (446.70 fps)
    @@ -1177,13 +1176,13 @@

    VGAĀ¶
    Testing: testsrc2_vga.h264.mp4
 * Software decoding with PyTorch interpolate
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 1.40 seconds. (641.78 fps)
+ - Processed 900 frames in 1.47 seconds. (612.44 fps)
 * Software decoding with FFmpeg scale
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.66 seconds. (1364.95 fps)
+ - Processed 900 frames in 0.61 seconds. (1480.25 fps)
 * Hardware decoding with resize
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.35 seconds. (2570.75 fps)
+ - Processed 900 frames in 0.34 seconds. (2663.78 fps)

    @@ -1195,13 +1194,13 @@

    XGAĀ¶
    Testing: testsrc2_xga.h264.mp4
 * Software decoding with PyTorch interpolate
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 2.61 seconds. (345.12 fps)
+ - Processed 900 frames in 2.86 seconds. (314.33 fps)
 * Software decoding with FFmpeg scale
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 1.01 seconds. (891.16 fps)
+ - Processed 900 frames in 1.01 seconds. (893.36 fps)
 * Hardware decoding with resize
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.62 seconds. (1453.60 fps)
+ - Processed 900 frames in 0.61 seconds. (1484.80 fps)

    • @@ -1242,7 +1241,7 @@

    ResultĀ¶ manipulated and copied are smaller than the case where applying resizing after frames are converted to Tensor.

    Tag: torchaudio.io

    -

    Total running time of the script: ( 0 minutes 32.068 seconds)

    +

    Total running time of the script: ( 0 minutes 32.147 seconds)

    Testing resolution: 640x360
 * Software Encoder (num_threads=1)
- - Processed 120 frames in 0.63 seconds. (189.48 fps)
+ - Processed 120 frames in 0.63 seconds. (190.48 fps)
  - Encoded data size: 381331 bytes
 * Software Encoder (num_threads=4)
- - Processed 120 frames in 0.22 seconds. (534.19 fps)
+ - Processed 120 frames in 0.23 seconds. (513.01 fps)
  - Encoded data size: 381307 bytes
 * Software Encoder (num_threads=8)
- - Processed 120 frames in 0.19 seconds. (645.26 fps)
+ - Processed 120 frames in 0.18 seconds. (675.01 fps)
  - Encoded data size: 390689 bytes
 * Hardware Encoder
- - Processed 120 frames in 0.05 seconds. (2224.28 fps)
+ - Processed 120 frames in 0.05 seconds. (2264.01 fps)
  - Encoded data size: 1262979 bytes
 * Hardware Encoder (CUDA frames)
- - Processed 120 frames in 0.05 seconds. (2623.06 fps)
+ - Processed 120 frames in 0.05 seconds. (2583.05 fps)
  - Encoded data size: 1262979 bytes
    @@ -722,19 +722,19 @@

    720PĀ¶ 
    Testing resolution: 1280x720
 * Software Encoder (num_threads=1)
- - Processed 120 frames in 2.27 seconds. (52.88 fps)
+ - Processed 120 frames in 2.23 seconds. (53.80 fps)
  - Encoded data size: 1335451 bytes
 * Software Encoder (num_threads=4)
- - Processed 120 frames in 0.83 seconds. (144.92 fps)
+ - Processed 120 frames in 0.81 seconds. (147.88 fps)
  - Encoded data size: 1336418 bytes
 * Software Encoder (num_threads=8)
- - Processed 120 frames in 0.69 seconds. (172.96 fps)
+ - Processed 120 frames in 0.66 seconds. (181.47 fps)
  - Encoded data size: 1344063 bytes
 * Hardware Encoder
- - Processed 120 frames in 0.26 seconds. (468.92 fps)
+ - Processed 120 frames in 0.25 seconds. (473.41 fps)
  - Encoded data size: 1358969 bytes
 * Hardware Encoder (CUDA frames)
- - Processed 120 frames in 0.15 seconds. (802.29 fps)
+ - Processed 120 frames in 0.15 seconds. (801.76 fps)
  - Encoded data size: 1358969 bytes
    @@ -746,19 +746,19 @@

    1080PĀ¶< 

    Testing resolution: 1920x1080
 * Software Encoder (num_threads=1)
- - Processed 120 frames in 4.66 seconds. (25.73 fps)
+ - Processed 120 frames in 4.64 seconds. (25.88 fps)
  - Encoded data size: 2678241 bytes
 * Software Encoder (num_threads=4)
- - Processed 120 frames in 1.68 seconds. (71.37 fps)
+ - Processed 120 frames in 1.67 seconds. (71.99 fps)
  - Encoded data size: 2682028 bytes
 * Software Encoder (num_threads=8)
- - Processed 120 frames in 1.57 seconds. (76.47 fps)
+ - Processed 120 frames in 1.49 seconds. (80.41 fps)
  - Encoded data size: 2685086 bytes
 * Hardware Encoder
- - Processed 120 frames in 0.56 seconds. (213.38 fps)
+ - Processed 120 frames in 0.56 seconds. (215.63 fps)
  - Encoded data size: 1705900 bytes
 * Hardware Encoder (CUDA frames)
- - Processed 120 frames in 0.32 seconds. (371.21 fps)
+ - Processed 120 frames in 0.32 seconds. (370.97 fps)
  - Encoded data size: 1705900 bytes
    @@ -852,7 +852,7 @@

    1080PĀ¶< We did not try, but if you try that and find a better quality setting, feel free to let us know. ;)

    Tag: torchaudio.io

    -

    Total running time of the script: ( 0 minutes 21.880 seconds)

    +

    Total running time of the script: ( 0 minutes 21.580 seconds)