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Add C and C++ API for Moonshine models (#1476)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,83 @@ | ||
| // c-api-examples/moonshine-c-api.c | ||
| // | ||
| // Copyright (c) 2024 Xiaomi Corporation | ||
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| // | ||
| // This file demonstrates how to use Moonshine tiny with sherpa-onnx's C API. | ||
| // clang-format off | ||
| // | ||
| // wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-moonshine-tiny-en-int8.tar.bz2 | ||
| // tar xvf sherpa-onnx-moonshine-tiny-en-int8.tar.bz2 | ||
| // rm sherpa-onnx-moonshine-tiny-en-int8.tar.bz2 | ||
| // | ||
| // clang-format on | ||
|
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| #include <stdio.h> | ||
| #include <stdlib.h> | ||
| #include <string.h> | ||
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| #include "sherpa-onnx/c-api/c-api.h" | ||
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| int32_t main() { | ||
| const char *wav_filename = | ||
| "./sherpa-onnx-moonshine-tiny-en-int8/test_wavs/0.wav"; | ||
| const char *preprocessor = | ||
| "./sherpa-onnx-moonshine-tiny-en-int8/preprocess.onnx"; | ||
| const char *encoder = "./sherpa-onnx-moonshine-tiny-en-int8/encode.int8.onnx"; | ||
| const char *uncached_decoder = | ||
| "./sherpa-onnx-moonshine-tiny-en-int8/uncached_decode.int8.onnx"; | ||
| const char *cached_decoder = | ||
| "./sherpa-onnx-moonshine-tiny-en-int8/cached_decode.int8.onnx"; | ||
| const char *tokens = "./sherpa-onnx-moonshine-tiny-en-int8/tokens.txt"; | ||
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| const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename); | ||
| if (wave == NULL) { | ||
| fprintf(stderr, "Failed to read %s\n", wav_filename); | ||
| return -1; | ||
| } | ||
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| // Offline model config | ||
| SherpaOnnxOfflineModelConfig offline_model_config; | ||
| memset(&offline_model_config, 0, sizeof(offline_model_config)); | ||
| offline_model_config.debug = 1; | ||
| offline_model_config.num_threads = 1; | ||
| offline_model_config.provider = "cpu"; | ||
| offline_model_config.tokens = tokens; | ||
| offline_model_config.moonshine.preprocessor = preprocessor; | ||
| offline_model_config.moonshine.encoder = encoder; | ||
| offline_model_config.moonshine.uncached_decoder = uncached_decoder; | ||
| offline_model_config.moonshine.cached_decoder = cached_decoder; | ||
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| // Recognizer config | ||
| SherpaOnnxOfflineRecognizerConfig recognizer_config; | ||
| memset(&recognizer_config, 0, sizeof(recognizer_config)); | ||
| recognizer_config.decoding_method = "greedy_search"; | ||
| recognizer_config.model_config = offline_model_config; | ||
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| const SherpaOnnxOfflineRecognizer *recognizer = | ||
| SherpaOnnxCreateOfflineRecognizer(&recognizer_config); | ||
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| if (recognizer == NULL) { | ||
| fprintf(stderr, "Please check your config!\n"); | ||
| SherpaOnnxFreeWave(wave); | ||
| return -1; | ||
| } | ||
|
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| const SherpaOnnxOfflineStream *stream = | ||
| SherpaOnnxCreateOfflineStream(recognizer); | ||
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| SherpaOnnxAcceptWaveformOffline(stream, wave->sample_rate, wave->samples, | ||
| wave->num_samples); | ||
| SherpaOnnxDecodeOfflineStream(recognizer, stream); | ||
| const SherpaOnnxOfflineRecognizerResult *result = | ||
| SherpaOnnxGetOfflineStreamResult(stream); | ||
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| fprintf(stderr, "Decoded text: %s\n", result->text); | ||
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| SherpaOnnxDestroyOfflineRecognizerResult(result); | ||
| SherpaOnnxDestroyOfflineStream(stream); | ||
| SherpaOnnxDestroyOfflineRecognizer(recognizer); | ||
| SherpaOnnxFreeWave(wave); | ||
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| return 0; | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,171 @@ | ||
| // c-api-examples/vad-moonshine-c-api.c | ||
| // | ||
| // Copyright (c) 2024 Xiaomi Corporation | ||
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||
| // | ||
| // This file demonstrates how to use VAD + Moonshine with sherpa-onnx's C API. | ||
| // clang-format off | ||
| // | ||
| // wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx | ||
| // wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/Obama.wav | ||
| // | ||
| // wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-moonshine-tiny-en-int8.tar.bz2 | ||
| // tar xvf sherpa-onnx-moonshine-tiny-en-int8.tar.bz2 | ||
| // rm sherpa-onnx-moonshine-tiny-en-int8.tar.bz2 | ||
| // | ||
| // clang-format on | ||
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| #include <stdio.h> | ||
| #include <stdlib.h> | ||
| #include <string.h> | ||
|
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| #include "sherpa-onnx/c-api/c-api.h" | ||
|
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| int32_t main() { | ||
| const char *wav_filename = "./Obama.wav"; | ||
| const char *vad_filename = "./silero_vad.onnx"; | ||
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| const char *preprocessor = | ||
| "./sherpa-onnx-moonshine-tiny-en-int8/preprocess.onnx"; | ||
| const char *encoder = "./sherpa-onnx-moonshine-tiny-en-int8/encode.int8.onnx"; | ||
| const char *uncached_decoder = | ||
| "./sherpa-onnx-moonshine-tiny-en-int8/uncached_decode.int8.onnx"; | ||
| const char *cached_decoder = | ||
| "./sherpa-onnx-moonshine-tiny-en-int8/cached_decode.int8.onnx"; | ||
| const char *tokens = "./sherpa-onnx-moonshine-tiny-en-int8/tokens.txt"; | ||
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| const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename); | ||
| if (wave == NULL) { | ||
| fprintf(stderr, "Failed to read %s\n", wav_filename); | ||
| return -1; | ||
| } | ||
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| if (wave->sample_rate != 16000) { | ||
| fprintf(stderr, "Expect the sample rate to be 16000. Given: %d\n", | ||
| wave->sample_rate); | ||
| SherpaOnnxFreeWave(wave); | ||
| return -1; | ||
| } | ||
|
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| // Offline model config | ||
| SherpaOnnxOfflineModelConfig offline_model_config; | ||
| memset(&offline_model_config, 0, sizeof(offline_model_config)); | ||
| offline_model_config.debug = 0; | ||
| offline_model_config.num_threads = 1; | ||
| offline_model_config.provider = "cpu"; | ||
| offline_model_config.tokens = tokens; | ||
| offline_model_config.moonshine.preprocessor = preprocessor; | ||
| offline_model_config.moonshine.encoder = encoder; | ||
| offline_model_config.moonshine.uncached_decoder = uncached_decoder; | ||
| offline_model_config.moonshine.cached_decoder = cached_decoder; | ||
|
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| // Recognizer config | ||
| SherpaOnnxOfflineRecognizerConfig recognizer_config; | ||
| memset(&recognizer_config, 0, sizeof(recognizer_config)); | ||
| recognizer_config.decoding_method = "greedy_search"; | ||
| recognizer_config.model_config = offline_model_config; | ||
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| const SherpaOnnxOfflineRecognizer *recognizer = | ||
| SherpaOnnxCreateOfflineRecognizer(&recognizer_config); | ||
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| if (recognizer == NULL) { | ||
| fprintf(stderr, "Please check your recognizer config!\n"); | ||
| SherpaOnnxFreeWave(wave); | ||
| return -1; | ||
| } | ||
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| SherpaOnnxVadModelConfig vadConfig; | ||
| memset(&vadConfig, 0, sizeof(vadConfig)); | ||
| vadConfig.silero_vad.model = vad_filename; | ||
| vadConfig.silero_vad.threshold = 0.5; | ||
| vadConfig.silero_vad.min_silence_duration = 0.5; | ||
| vadConfig.silero_vad.min_speech_duration = 0.5; | ||
| vadConfig.silero_vad.max_speech_duration = 10; | ||
| vadConfig.silero_vad.window_size = 512; | ||
| vadConfig.sample_rate = 16000; | ||
| vadConfig.num_threads = 1; | ||
| vadConfig.debug = 1; | ||
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| SherpaOnnxVoiceActivityDetector *vad = | ||
| SherpaOnnxCreateVoiceActivityDetector(&vadConfig, 30); | ||
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| if (vad == NULL) { | ||
| fprintf(stderr, "Please check your recognizer config!\n"); | ||
| SherpaOnnxFreeWave(wave); | ||
| SherpaOnnxDestroyOfflineRecognizer(recognizer); | ||
| return -1; | ||
| } | ||
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| int32_t window_size = vadConfig.silero_vad.window_size; | ||
| int32_t i = 0; | ||
|
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| while (i + window_size < wave->num_samples) { | ||
| SherpaOnnxVoiceActivityDetectorAcceptWaveform(vad, wave->samples + i, | ||
| window_size); | ||
| i += window_size; | ||
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| while (!SherpaOnnxVoiceActivityDetectorEmpty(vad)) { | ||
| const SherpaOnnxSpeechSegment *segment = | ||
| SherpaOnnxVoiceActivityDetectorFront(vad); | ||
|
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| const SherpaOnnxOfflineStream *stream = | ||
| SherpaOnnxCreateOfflineStream(recognizer); | ||
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| SherpaOnnxAcceptWaveformOffline(stream, wave->sample_rate, | ||
| segment->samples, segment->n); | ||
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| SherpaOnnxDecodeOfflineStream(recognizer, stream); | ||
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| const SherpaOnnxOfflineRecognizerResult *result = | ||
| SherpaOnnxGetOfflineStreamResult(stream); | ||
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| float start = segment->start / 16000.0f; | ||
| float duration = segment->n / 16000.0f; | ||
| float stop = start + duration; | ||
|
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| fprintf(stderr, "%.3f -- %.3f: %s\n", start, stop, result->text); | ||
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| SherpaOnnxDestroyOfflineRecognizerResult(result); | ||
| SherpaOnnxDestroyOfflineStream(stream); | ||
|
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| SherpaOnnxDestroySpeechSegment(segment); | ||
| SherpaOnnxVoiceActivityDetectorPop(vad); | ||
| } | ||
| } | ||
|
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| SherpaOnnxVoiceActivityDetectorFlush(vad); | ||
|
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| while (!SherpaOnnxVoiceActivityDetectorEmpty(vad)) { | ||
| const SherpaOnnxSpeechSegment *segment = | ||
| SherpaOnnxVoiceActivityDetectorFront(vad); | ||
|
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| const SherpaOnnxOfflineStream *stream = | ||
| SherpaOnnxCreateOfflineStream(recognizer); | ||
|
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| SherpaOnnxAcceptWaveformOffline(stream, wave->sample_rate, segment->samples, | ||
| segment->n); | ||
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| SherpaOnnxDecodeOfflineStream(recognizer, stream); | ||
|
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| const SherpaOnnxOfflineRecognizerResult *result = | ||
| SherpaOnnxGetOfflineStreamResult(stream); | ||
|
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| float start = segment->start / 16000.0f; | ||
| float duration = segment->n / 16000.0f; | ||
| float stop = start + duration; | ||
|
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| fprintf(stderr, "%.3f -- %.3f: %s\n", start, stop, result->text); | ||
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| SherpaOnnxDestroyOfflineRecognizerResult(result); | ||
| SherpaOnnxDestroyOfflineStream(stream); | ||
|
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| SherpaOnnxDestroySpeechSegment(segment); | ||
| SherpaOnnxVoiceActivityDetectorPop(vad); | ||
| } | ||
|
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| SherpaOnnxDestroyOfflineRecognizer(recognizer); | ||
| SherpaOnnxDestroyVoiceActivityDetector(vad); | ||
| SherpaOnnxFreeWave(wave); | ||
|
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| return 0; | ||
| } |
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