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https://github.com/snakers4/silero-vad.git
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33
hubconf.py
33
hubconf.py
@@ -1,11 +1,13 @@
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dependencies = ['torch', 'omegaconf', 'torchaudio']
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dependencies = ['torch', 'torchaudio', 'numpy']
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import torch
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from omegaconf import OmegaConf
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from utils import (init_jit_model,
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read_audio,
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read_batch,
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split_into_batches,
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prepare_model_input)
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from utils import (init_jit_model,
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get_speech_ts,
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save_audio,
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read_audio,
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state_generator,
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single_audio_stream,
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collect_speeches)
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def silero_stt(**kwargs):
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@@ -13,16 +15,15 @@ def silero_stt(**kwargs):
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Returns a model and a set of utils
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Please see https://github.com/snakers4/silero-vad for usage examples
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"""
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torch.hub.download_url_to_file('https://raw.githubusercontent.com/snakers4/silero-vad/master/models.yml',
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'silero_vad_models.yml',
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torch.hub.download_url_to_file('https://raw.githubusercontent.com/snakers4/silero-vad/master/files/model.jit',
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'files/model.jit',
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progress=False)
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models = OmegaConf.load('silero_vad_models.yml')
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model = init_jit_model(model_url=models.latest.jit,
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**kwargs)
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utils = (read_batch,
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split_into_batches,
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read_audio,
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prepare_model_input)
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model = init_jit_model(model_url='files/model.jit')
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utils = (get_speech_ts,
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save_audio,
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read_audio,
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state_generator,
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single_audio_stream,
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collect_speeches)
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return model, utils
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6
utils.py
6
utils.py
@@ -224,3 +224,9 @@ def single_audio_stream(model, audio, onnx=False, trig_sum=0.26,
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if state[0]:
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states.append(state[0])
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yield states
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def collect_speeches(tss, wav):
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speech_chunks = []
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for i in tss:
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speech_chunks.append(wav[i['start']: i['end']])
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return torch.cat(speech_chunks)
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