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The diarization folder contains all files for the diarization experiment.
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The segmentation folder contains scripts for segmenting audio files in segments of 15-25 seconds.
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The transcription folder contains scripts for transcribing a wav-file/
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ASRpipeline.py contains the entire pipeline. To transcribe a meeting (or other wav-files) run this script.
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the Corpus folder contains the transcribed LIBE meetings.
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Evaluate contains the script to calculate the WER
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hotwords_experiment contains data and scripts for the hotwords experiment.
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make_wordlist contains the scripts that were used to create the wordlist for the hotwords experiment.
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manual_transcriptions contains the manual transcriptions used for the evaluation.
Run ASRpipeline.py <path_to_wavfile> to process a wav file.
wavfile: the wavfile you want to process-rttm_output: path to where the rttm files need to be stored if you use diarization.-segmentation_output_folder: the folder where the results of segmentation will be stored.-segmentation_bookkeep_file: The name of the json file with the segmentation bookkeep. This file keeps track of how the wav file is segmented.-asr_model: The name of the wav2vec model that is used for the asr. default="facebook/wav2vec2-base-10k-voxpopuli-ft-en",-kenlm_model: The name of the knlm model that is used for decoding the ASR results.-transcriptions_output_folder: "Folder where the transcriptions will be stored.-logfolder: The folder where the logfiles will go.