from funasr_onnx import Fsmn_vad_online
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import soundfile
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from pathlib import Path
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model_dir = "damo/speech_fsmn_vad_zh-cn-16k-common-pytorch"
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wav_path = '{}/.cache/modelscope/hub/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/example/vad_example.wav'.format(Path.home())
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model = Fsmn_vad_online(model_dir)
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##online vad
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speech, sample_rate = soundfile.read(wav_path)
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speech_length = speech.shape[0]
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#
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sample_offset = 0
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step = 1600
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param_dict = {'in_cache': []}
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for sample_offset in range(0, speech_length, min(step, speech_length - sample_offset)):
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if sample_offset + step >= speech_length - 1:
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step = speech_length - sample_offset
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is_final = True
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else:
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is_final = False
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param_dict['is_final'] = is_final
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segments_result = model(audio_in=speech[sample_offset: sample_offset + step],
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param_dict=param_dict)
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if segments_result:
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print(segments_result)
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