mirror of
https://github.com/snakers4/silero-vad.git
synced 2026-02-04 17:39:22 +08:00
79 lines
2.5 KiB
Python
79 lines
2.5 KiB
Python
dependencies = ['torch', 'torchaudio']
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import torch
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import json
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from utils_vad import (init_jit_model,
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get_speech_timestamps,
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get_number_ts,
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get_language,
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get_language_and_group,
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save_audio,
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read_audio,
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VADIterator,
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collect_chunks,
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drop_chunks)
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def silero_vad(**kwargs):
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"""Silero Voice Activity Detector
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Returns a model with 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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hub_dir = torch.hub.get_dir()
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model = init_jit_model(model_path=f'{hub_dir}/snakers4_silero-vad_master/files/silero_vad.jit')
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utils = (get_speech_timestamps,
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save_audio,
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read_audio,
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VADIterator,
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collect_chunks)
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return model, utils
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def silero_number_detector(**kwargs):
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"""Silero Number Detector
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Returns a model with 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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hub_dir = torch.hub.get_dir()
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model = init_jit_model(model_path=f'{hub_dir}/snakers4_silero-vad_master/files/number_detector.jit')
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utils = (get_number_ts,
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save_audio,
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read_audio,
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collect_chunks,
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drop_chunks)
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return model, utils
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def silero_lang_detector(**kwargs):
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"""Silero Language Classifier
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Returns a model with 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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hub_dir = torch.hub.get_dir()
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model = init_jit_model(model_path=f'{hub_dir}/snakers4_silero-vad_master/files/number_detector.jit')
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utils = (get_language,
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read_audio)
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return model, utils
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def silero_lang_detector_95(**kwargs):
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"""Silero Language Classifier (95 languages)
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Returns a model with 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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hub_dir = torch.hub.get_dir()
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model = init_jit_model(model_path=f'{hub_dir}/snakers4_silero-vad_master/files/lang_classifier_95.jit')
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with open(f'{hub_dir}/snakers4_silero-vad_master/files/lang_dict_95.json', 'r') as f:
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lang_dict = json.load(f)
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with open(f'{hub_dir}/snakers4_silero-vad_master/files/lang_group_dict_95.json', 'r') as f:
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lang_group_dict = json.load(f)
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utils = (get_language_and_group, read_audio)
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return model, lang_dict, lang_group_dict, utils
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