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- import soundfile
- from funasr_onnx import Fsmn_vad_online
- model_dir = "/mnt/ailsa.zly/tfbase/espnet_work/FunASR_dev_zly/export/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch"
- wav_path = "/mnt/ailsa.zly/tfbase/espnet_work/FunASR_dev_zly/egs_modelscope/vad/speech_fsmn_vad_zh-cn-16k-common/vad_example_16k.wav"
- model = Fsmn_vad_online(model_dir)
- ##online vad
- speech, sample_rate = soundfile.read(wav_path)
- speech_length = speech.shape[0]
- #
- sample_offset = 0
- step = 1600
- param_dict = {'in_cache': []}
- for sample_offset in range(0, speech_length, min(step, speech_length - sample_offset)):
- if sample_offset + step >= speech_length - 1:
- step = speech_length - sample_offset
- is_final = True
- else:
- is_final = False
- param_dict['is_final'] = is_final
- segments_result = model(audio_in=speech[sample_offset: sample_offset + step],
- param_dict=param_dict)
- if segments_result:
- print(segments_result)
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