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| #!/usr/bin/env python3
| # -*- encoding: utf-8 -*-
| # Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
| # MIT License (https://opensource.org/licenses/MIT)
|
| from funasr import AutoModel
|
| wav_file = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav"
|
| model = AutoModel(model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch")
|
| res = model.generate(input=wav_file)
| print(res)
|
| # [[beg1, end1], [beg2, end2], .., [begN, endN]]
| # beg/end: ms
|
|
| import soundfile
| import os
|
| wav_file = os.path.join(model.model_path, "example/vad_example.wav")
| speech, sample_rate = soundfile.read(wav_file)
|
| chunk_size = 200 # ms
| chunk_stride = int(chunk_size * sample_rate / 1000)
|
| cache = {}
|
| total_chunk_num = int(len((speech) - 1) / chunk_stride + 1)
| for i in range(total_chunk_num):
| speech_chunk = speech[i * chunk_stride : (i + 1) * chunk_stride]
| is_final = i == total_chunk_num - 1
| res = model.generate(
| input=speech_chunk,
| cache=cache,
| is_final=is_final,
| chunk_size=chunk_size,
| disable_pbar=True,
| )
| # print(res)
| if len(res[0]["value"]):
| print(res)
|
|
| # 1. [[beg1, end1], [beg2, end2], .., [begN, endN]]; [[beg, end]]; [[beg1, end1], [beg2, end2]]
| # 2. [[beg, -1]]
| # 3. [[-1, end]]
| # beg/end: ms
|
|
