FunASR/examples/industrial_data_pretraining/fsmn_vad_streaming/demo.py
zhifu gao 65396eeeff
vad streaming return [beg, -1], [], [-1, end], [beg, end] (#1306)
* fix add_file bug (#1296)

Co-authored-by: shixian.shi <shixian.shi@alibaba-inc.com>

* funasr1.0 uniasr

* funasr1.0 uniasr

* update with main (#1305)

* v1.0.3

* update clients for 2pass

* update download tools

---------

Co-authored-by: 雾聪 <wucong.lyb@alibaba-inc.com>

* vad streaming return [beg, -1], [], [-1, end], [beg, end]]

---------

Co-authored-by: shixian.shi <shixian.shi@alibaba-inc.com>
Co-authored-by: 雾聪 <wucong.lyb@alibaba-inc.com>
2024-01-26 11:26:48 +08:00

40 lines
1.1 KiB
Python

#!/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="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch", model_revision="v2.0.4")
res = model.generate(input=wav_file)
print(res)
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)