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silero-vad/hubconf.py
2024-07-01 09:26:52 +00:00

95 lines
2.9 KiB
Python

dependencies = ['torch', 'torchaudio']
import torch
import os
import json
from utils_vad import (init_jit_model,
get_speech_timestamps,
get_number_ts,
get_language,
get_language_and_group,
save_audio,
read_audio,
VADIterator,
collect_chunks,
drop_chunks,
Validator,
OnnxWrapper)
def silero_vad(onnx=False):
"""Silero Voice Activity Detector
Returns a model with a set of utils
Please see https://github.com/snakers4/silero-vad for usage examples
"""
model_dir = os.path.join(os.path.dirname(__file__), 'files')
if onnx:
model = OnnxWrapper(os.path.join(model_dir, 'silero_vad.onnx'))
else:
model = init_jit_model(os.path.join(model_dir, 'silero_vad.jit'))
utils = (get_speech_timestamps,
save_audio,
read_audio,
VADIterator,
collect_chunks)
return model, utils
def silero_number_detector(onnx=False):
"""Silero Number Detector
Returns a model with a set of utils
Please see https://github.com/snakers4/silero-vad for usage examples
"""
if onnx:
url = 'https://models.silero.ai/vad_models/number_detector.onnx'
else:
url = 'https://models.silero.ai/vad_models/number_detector.jit'
model = Validator(url)
utils = (get_number_ts,
save_audio,
read_audio,
collect_chunks,
drop_chunks)
return model, utils
def silero_lang_detector(onnx=False):
"""Silero Language Classifier
Returns a model with a set of utils
Please see https://github.com/snakers4/silero-vad for usage examples
"""
if onnx:
url = 'https://models.silero.ai/vad_models/number_detector.onnx'
else:
url = 'https://models.silero.ai/vad_models/number_detector.jit'
model = Validator(url)
utils = (get_language,
read_audio)
return model, utils
def silero_lang_detector_95(onnx=False):
"""Silero Language Classifier (95 languages)
Returns a model with a set of utils
Please see https://github.com/snakers4/silero-vad for usage examples
"""
if onnx:
url = 'https://models.silero.ai/vad_models/lang_classifier_95.onnx'
else:
url = 'https://models.silero.ai/vad_models/lang_classifier_95.jit'
model = Validator(url)
model_dir = os.path.join(os.path.dirname(__file__), 'files')
with open(os.path.join(model_dir, 'lang_dict_95.json'), 'r') as f:
lang_dict = json.load(f)
with open(os.path.join(model_dir, 'lang_group_dict_95.json'), 'r') as f:
lang_group_dict = json.load(f)
utils = (get_language_and_group, read_audio)
return model, lang_dict, lang_group_dict, utils