#4644 TaskCfgVTT(is_cuda=True, uuid='1693ffb826', cache_folder='D:/pyvideotrans/tmp/4044/1693ffb826', target_dir='C:/Users/Adm

219.76* Posted at: 4 hours ago 👁12

语音识别阶段出错 [faster-whisper(本地)] 出错了,可能内存或显存不足 [GPU0]
Traceback (most recent call last):
File "videotrans\configure\_base.py", line 281, in _new_process
File "videotrans\process\signelobj.py", line 80, in submit_task_gpu
File "concurrent\futures\process.py", line 720, in submit
concurrent.futures.process.BrokenProcessPool: A child process terminated abruptly, the process pool is not usable anymore

Traceback (most recent call last):
File "videotrans\configure\_base.py", line 281, in _new_process
File "videotrans\process\signelobj.py", line 80, in submit_task_gpu
File "concurrent\futures\process.py", line 720, in submit
concurrent.futures.process.BrokenProcessPool: A child process terminated abruptly, the process pool is not usable anymore

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "videotrans\task\job.py", line 105, in run
File "videotrans\task\trans_create.py", line 360, in recogn
File "videotrans\recognition\__init__.py", line 272, in run
File "videotrans\recognition\_base.py", line 143, in run
File "videotrans\recognition\_overall.py", line 33, in _exec
File "videotrans\recognition\_overall.py", line 105, in _faster
File "videotrans\configure\_base.py", line 299, in _new_process
RuntimeError: 出错了,可能内存或显存不足 [GPU0]
Traceback (most recent call last):
File "videotrans\configure\_base.py", line 281, in _new_process
File "videotrans\process\signelobj.py", line 80, in submit_task_gpu
File "concurrent\futures\process.py", line 720, in submit
concurrent.futures.process.BrokenProcessPool: A child process terminated abruptly, the process pool is not usable anymore
TaskCfgVTT(is_cuda=True, uuid='1693ffb826', cache_folder='D:/pyvideotrans/tmp/4044/1693ffb826', target_dir='C:/Users/Administrator/Desktop/healthmaneger/_video_out/Battlefield Medicine Is Brutal_1080p-mp4', source_language='英语', source_language_code='en', source_sub='C:/Users/Administrator/Desktop/healthmaneger/_video_out/Battlefield Medicine Is Brutal_1080p-mp4/en.srt', source_wav='D:/pyvideotrans/tmp/4044/1693ffb826/en.wav', source_wav_output='C:/Users/Administrator/Desktop/healthmaneger/_video_out/Battlefield Medicine Is Brutal_1080p-mp4/en.m4a', target_language='简体中文', target_language_code='zh-cn', target_sub='C:/Users/Administrator/Desktop/healthmaneger/_video_out/Battlefield Medicine Is Brutal_1080p-mp4/zh-cn.srt', target_wav='D:/pyvideotrans/tmp/4044/1693ffb826/target.wav', target_wav_output='C:/Users/Administrator/Desktop/healthmaneger/_video_out/Battlefield Medicine Is Brutal_1080p-mp4/zh-cn.m4a', name='C:/Users/Administrator/Desktop/healthmaneger/Battlefield Medicine Is Brutal_1080p.mp4', noextname='Battlefield Medicine Is Brutal_1080p', basename='Battlefield Medicine Is Brutal_1080p.mp4', ext='mp4', dirname='C:/Users/Administrator/Desktop/healthmaneger', shound_del_name=None, translate_type=0, tts_type=10, volume='+0%', pitch='+0Hz', voice_rate='+0%', voice_role='No', voice_autorate=False, video_autorate=False, remove_silent_mid=False, align_sub_audio=False, detect_language='en', recogn_type=0, model_name='large-v3-turbo', shibie_audio=None, remove_noise=False, enable_diariz=False, nums_diariz=0, rephrase=0, fix_punc=False, subtitle_language=None, app_mode='tiqu', subtitles='', targetdir_mp4='C:/Users/Administrator/Desktop/healthmaneger/_video_out/Battlefield Medicine Is Brutal_1080p-mp4/Battlefield Medicine Is Brutal_1080p.mp4', novoice_mp4='D:/pyvideotrans/tmp/4044/1693ffb826/novoice.mp4', is_separate=False, instrument=None, vocal=None, back_audio='', clear_cache=False, background_music=None, subtitle_type=0, only_out_mp4=False, recogn2pass=False, output_srt=0, copysrt_rawvideo=False)


=
system:Windows-10-10.0.26100-SP0
version:v3.98
frozen:True
language:zh
root_dir:D:/pyvideotrans

1 Replies

这是由于显存不足导致的。您当前使用的 large-v3-turbo 模型需要大量显存(至少 8GB 以上),而您的 GPU 可能无法满足,导致子进程崩溃。

解决方案(按推荐顺序尝试):

  1. 更换更小的模型:在语音识别渠道中将模型从 large-v3-turbo 改为 mediumsmallbase,再次尝试。
  2. 降低显存占用:进入 菜单 → 工具/选项 → 高级选项,找到 语音识别参数 区域,进行以下调整:

    • CUDA数据类型:改为 float16int8
    • 识别准确度beam_size:改为 1
    • 识别准确度best_of:改为 1
    • 启用上下文感知:关闭(设为 false
  3. 检查是否开启了“二次识别”:如果开启了,请取消勾选。
  4. 如果以上仍无效:请确认您的显卡可用显存(nvidia-smi 查看),低于 4GB 时建议使用 base 模型,且关闭所有无关程序释放显存。

请查阅相关文档:

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