mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
37 lines
1.1 KiB
Python
37 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 = "/Users/zhifu/funasr_github/test_local/asr_example.wav"
|
|
chunk_size = 60000 # ms
|
|
model = AutoModel(model="/Users/zhifu/Downloads/modelscope_models/speech_fsmn_vad_zh-cn-16k-common-streaming", model_revision="v2.0.0")
|
|
|
|
res = model(input=wav_file,
|
|
chunk_size=chunk_size,
|
|
)
|
|
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_stride = int(chunk_size * 16000 / 1000)
|
|
#
|
|
# cache = {}
|
|
#
|
|
# for i in range(int(len((speech)-1)/chunk_stride+1)):
|
|
# speech_chunk = speech[i*chunk_stride:(i+1)*chunk_stride]
|
|
# is_final = i == int(len((speech)-1)/chunk_stride+1)
|
|
# res = model(input=speech_chunk,
|
|
# cache=cache,
|
|
# is_final=is_final,
|
|
# chunk_size=chunk_size,
|
|
# )
|
|
# print(res)
|