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SenseVoice在FunASR的1.2.0版本支持字符时间戳功能下,字符数与时间戳个数不一致。
使用官方SenseVoice时间戳demo,在Notebook中直接识别音频文件
音频文件如下: temp.zip
import torch from funasr import AutoModel from funasr.utils.postprocess_utils import rich_transcription_postprocess
model_dir = "iic/SenseVoiceSmall"
model = AutoModel( model=model_dir, vad_model="fsmn-vad", vad_kwargs={"max_single_segment_time": 30000}, device="cpu", ncpu=8, disable_update=True, disable_pbar=True, ) print("模型加载完成")
#torch.set_num_threads(8) #torch.set_num_interop_threads(8)
res = model.generate( input=f"sd_pr_right.wav", cache={}, language="zh", # "zh", "en", "yue", "ja", "ko", "nospeech" use_itn=True, batch_size_s=60, merge_vad=False, # merge_length_s=15, output_timestamp=True, return_raw_text=True, ) print(res) text = rich_transcription_postprocess(res[0]["text"]) print(text)
识别结果字符数与时间戳个数不一致,字符个数为49个,时间戳个数只有47个。且英文部分识别效果较差。
Notebook CPU 8核32G FunASR 1.2.0
上述问题是今天早上在一个Notebook实例上出现的,在触发1小时闲置后,换了一个实例运行,结果就是字符数与时间戳数一致。但是在本地的python3.8 docker镜像中手动安装FunASR 1.2.0的环境下识别上述音频文件,可以稳定复现上述问题。
The text was updated successfully, but these errors were encountered:
R1ckShi
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🐛 Bug
SenseVoice在FunASR的1.2.0版本支持字符时间戳功能下,字符数与时间戳个数不一致。
To Reproduce
使用官方SenseVoice时间戳demo,在Notebook中直接识别音频文件
音频文件如下:
temp.zip
Code sample
import torch
from funasr import AutoModel
from funasr.utils.postprocess_utils import rich_transcription_postprocess
model_dir = "iic/SenseVoiceSmall"
model = AutoModel(
model=model_dir,
vad_model="fsmn-vad",
vad_kwargs={"max_single_segment_time": 30000},
device="cpu",
ncpu=8,
disable_update=True,
disable_pbar=True,
)
print("模型加载完成")
#torch.set_num_threads(8)
#torch.set_num_interop_threads(8)
res = model.generate(
input=f"sd_pr_right.wav",
cache={},
language="zh", # "zh", "en", "yue", "ja", "ko", "nospeech"
use_itn=True,
batch_size_s=60,
merge_vad=False, #
merge_length_s=15,
output_timestamp=True,
return_raw_text=True,
)
print(res)
text = rich_transcription_postprocess(res[0]["text"])
print(text)
Expected behavior
识别结果字符数与时间戳个数不一致,字符个数为49个,时间戳个数只有47个。且英文部分识别效果较差。
Environment
Notebook CPU 8核32G
FunASR 1.2.0
Additional context
上述问题是今天早上在一个Notebook实例上出现的,在触发1小时闲置后,换了一个实例运行,结果就是字符数与时间戳数一致。但是在本地的python3.8 docker镜像中手动安装FunASR 1.2.0的环境下识别上述音频文件,可以稳定复现上述问题。
The text was updated successfully, but these errors were encountered: