vad-crdnn-libriparty-segmentize.py

import torchaudio
from speechbrain.pretrained import VAD

VAD = VAD.from_hparams(source="speechbrain/vad-crdnn-libriparty", savedir="pretrained_models/vad-crdnn-libriparty")

test_file = 'a.wav'

boundaries = VAD.get_speech_segments(test_file)
segments = VAD.get_segments(boundaries, test_file)

for idx, s in enumerate(segments):
    segment_file = f'segments-dir/segment_{idx}.wav'
    torchaudio.save(segment_file, s.cpu(), 16000)
    print(segment_file, 'saved')