#4584 TaskCfg(cache_folder='D:/My Softwares/视频翻译配音 Pyvideotran 3.97/tmp/2748/c62cb24440', target_dir='E:/5/_video_out/Love Mac

120.217* Posted at: 5 hours ago 👁12

语音识别阶段出错 [faster-whisper(本地)] Traceback (most recent call last):
File "videotrans\process\stt_fun.py", line 259, in faster_whisper
File "faster_whisper\transcribe.py", line 586, in _batched_segments_generator
File "faster_whisper\transcribe.py", line 120, in forward
File "faster_whisper\transcribe.py", line 209, in generate_segment_batched
File "faster_whisper\transcribe.py", line 1400, in encode
RuntimeError: CUDA failed with error out of memory

Traceback (most recent call last):
File "videotrans\task\job.py", line 106, in run
File "videotrans\task\trans_create.py", line 358, in recogn
File "videotrans\recognition\__init__.py", line 284, in run
File "videotrans\recognition\_base.py", line 141, in run
File "videotrans\recognition\_overall.py", line 63, in _exec
File "videotrans\recognition\_overall.py", line 142, in _faster
File "videotrans\configure\_base.py", line 276, in _new_process
RuntimeError: Traceback (most recent call last):
File "videotrans\process\stt_fun.py", line 259, in faster_whisper
File "faster_whisper\transcribe.py", line 586, in _batched_segments_generator
File "faster_whisper\transcribe.py", line 120, in forward
File "faster_whisper\transcribe.py", line 209, in generate_segment_batched
File "faster_whisper\transcribe.py", line 1400, in encode
RuntimeError: CUDA failed with error out of memory
TaskCfg(cache_folder='D:/My Softwares/视频翻译配音 Pyvideotran 3.97/tmp/2748/c62cb24440', target_dir='E:/5/_video_out/Love Machine 爱情机器 2016-mp4', remove_noise=False, is_separate=False, detect_language='ru', subtitle_language=None, source_language='俄罗斯语', target_language='简体中文', source_language_code='ru', target_language_code='zh-cn', source_sub='E:/5/_video_out/Love Machine 爱情机器 2016-mp4/ru.srt', target_sub='E:/5/_video_out/Love Machine 爱情机器 2016-mp4/zh-cn.srt', source_wav='D:/My Softwares/视频翻译配音 Pyvideotran 3.97/tmp/2748/c62cb24440/ru.wav', source_wav_output='E:/5/_video_out/Love Machine 爱情机器 2016-mp4/ru.m4a', target_wav='D:/My Softwares/视频翻译配音 Pyvideotran 3.97/tmp/2748/c62cb24440/target.wav', target_wav_output='E:/5/_video_out/Love Machine 爱情机器 2016-mp4/zh-cn.m4a', subtitles='', novoice_mp4='D:/My Softwares/视频翻译配音 Pyvideotran 3.97/tmp/2748/c62cb24440/novoice.mp4', noextname='Love Machine 爱情机器 2016', shibie_audio=None, targetdir_mp4='E:/5/_video_out/Love Machine 爱情机器 2016-mp4/Love Machine 爱情机器 2016.mp4', instrument=None, vocal=None, back_audio='', background_music=None, app_mode='tiqu', subtitle_type=0, volume='+0%', pitch='+0Hz', voice_rate='+0%', voice_role='No', copysrt_rawvideo=False, clear_cache=False, translate_type=1, tts_type=0, recogn_type=0, model_name='large-v3-turbo', voice_autorate=False, video_autorate=False, cuda=True, name='E:/5/Love Machine 爱情机器 2016.mp4', basename='Love Machine 爱情机器 2016.mp4', ext='mp4', dirname='E:/5', shound_del_name=None, uuid='c62cb24440', remove_silent_mid=False, align_sub_audio=True, enable_diariz=False, nums_diariz=0, rephrase=0, only_out_mp4=False, fix_punc=False, recogn2pass=True)


=
system:Windows-10-10.0.26200-SP0
version:v3.96
frozen:True
language:zh
root_dir:D:/My Softwares/视频翻译配音 Pyvideotran 3.97

1 Replies

这是由于显存不足(Out of Memory)导致的。large-v3-turbo 模型需要至少 10GB 显存,你的显卡可能不够或同时运行了其他任务。

请按以下顺序尝试:

  1. 更换为更小的模型:在语音识别下拉菜单中改为 mediumsmall,然后重试。
  2. 调整高级选项减负:点击菜单栏 工具/选项 → 高级选项,进行如下修改:

    • CUDA数据类型:改为 int8(显存占用最低)或 float16
    • 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:改为 false
    • Whisper预分割音频:选中此项可以有效降低单次显存占用,尤其适合处理长视频。
  3. 关闭二次识别:你当前勾选了 二次识别(日志显示 recogn2pass=True),这会额外占用一轮显存。先取消勾选,等第一次识别成功后再按需开启。
  4. 减少并行任务:如果同时处理多个视频,请在高级选项中启用 批量翻译时强制串行,并确保 GPU同时任务数 设为 1
  5. 确认其他显存占用:关闭浏览器、其他 AI 软件等可能占用 GPU 的程序。

如果以上仍无法解决,请在软件根目录 logs/ 文件夹中提供最近日志文件的最后 30 行内容,以便进一步分析。

请查阅相关文档:

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