from funasr_onnx import Fsmn_vad_online
|
import soundfile
|
from pathlib import Path
|
|
model_dir = "damo/speech_fsmn_vad_zh-cn-16k-common-pytorch"
|
wav_path = "{}/.cache/modelscope/hub/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/example/vad_example.wav".format(
|
Path.home()
|
)
|
|
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)
|
