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57 lines
1.9 KiB
57 lines
1.9 KiB
2 weeks ago
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dependencies = ['torch', 'torchaudio']
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import torch
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import os
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import sys
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'src'))
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from silero_vad.utils_vad import (init_jit_model,
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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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OnnxWrapper)
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def versiontuple(v):
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splitted = v.split('+')[0].split(".")
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version_list = []
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for i in splitted:
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try:
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version_list.append(int(i))
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except:
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version_list.append(0)
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return tuple(version_list)
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def silero_vad(onnx=False, force_onnx_cpu=False, opset_version=16):
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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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available_ops = [15, 16]
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if onnx and opset_version not in available_ops:
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raise Exception(f'Available ONNX opset_version: {available_ops}')
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if not onnx:
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installed_version = torch.__version__
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supported_version = '1.12.0'
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if versiontuple(installed_version) < versiontuple(supported_version):
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raise Exception(f'Please install torch {supported_version} or greater ({installed_version} installed)')
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model_dir = os.path.join(os.path.dirname(__file__), 'src', 'silero_vad', 'data')
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if onnx:
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if opset_version == 16:
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model_name = 'silero_vad.onnx'
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else:
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model_name = f'silero_vad_16k_op{opset_version}.onnx'
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model = OnnxWrapper(os.path.join(model_dir, model_name), force_onnx_cpu)
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else:
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model = init_jit_model(os.path.join(model_dir, '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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