#!/usr/bin/env python3
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# -*- encoding: utf-8 -*-
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# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
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# MIT License (https://opensource.org/licenses/MIT)
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from funasr import AutoModel
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wav_file = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav"
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chunk_size = 60000 # ms
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model = AutoModel(model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch", model_revision="v2.0.2")
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res = model.generate(input=wav_file, chunk_size=chunk_size, )
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print(res)
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import soundfile
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import os
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wav_file = os.path.join(model.model_path, "example/vad_example.wav")
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speech, sample_rate = soundfile.read(wav_file)
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chunk_stride = int(chunk_size * sample_rate / 1000)
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cache = {}
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total_chunk_num = int(len((speech)-1)/chunk_stride+1)
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for i in range(total_chunk_num):
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speech_chunk = speech[i*chunk_stride:(i+1)*chunk_stride]
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is_final = i == total_chunk_num - 1
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res = model.generate(input=speech_chunk,
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cache=cache,
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is_final=is_final,
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chunk_size=chunk_size,
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)
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if len(res[0]["value"]):
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print(res)
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