#2025 TaskCfg(cache_folder='C:/Users/Administrator/Documents/11/tmp/4696/acac0fcd6a', target_dir='/192.168.50.88/hh日本🇯🇵-2/1111

188.253* Posted at: 18 hours ago 👁14

语音识别阶段出错:[openai-whisper(本地)] 运行时错误：Traceback (most recent call last):
File "videotrans\process\_overall.py", line 49, in run
File "whisper\transcribe.py", line 295, in transcribe
File "whisper\transcribe.py", line 201, in decode_with_fallback
File "torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "whisper\decoding.py", line 824, in decode
File "torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "whisper\decoding.py", line 737, in run
File "whisper\decoding.py", line 703, in _main_loop
File "whisper\decoding.py", line 283, in update
File "torch\distributions\categorical.py", line 73, in init

super().__init__(batch_shape, validate_args=validate_args)

File "torch\distributions\distribution.py", line 72, in init

raise ValueError(

ValueError: Expected parameter logits (Tensor of shape (1, 51866)) of distribution Categorical(logits: torch.Size([1, 51866])) to satisfy the constraint IndependentConstraint(Real(), 1), but found invalid values:
tensor([[nan, nan, nan, ..., nan, nan, nan]], device='cuda:0')
:
Traceback (most recent call last):
File "videotrans\task\job.py", line 113, in run
File "videotrans\task\trans_create.py", line 365, in recogn
File "videotrans\recognition\__init__.py", line 239, in run
File "videotrans\recognition\_base.py", line 80, in run
File "videotrans\recognition\_overall.py", line 182, in _exec
RuntimeError: Traceback (most recent call last):
File "videotrans\process\_overall.py", line 49, in run
File "whisper\transcribe.py", line 295, in transcribe
File "whisper\transcribe.py", line 201, in decode_with_fallback
File "torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "whisper\decoding.py", line 824, in decode
File "torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "whisper\decoding.py", line 737, in run
File "whisper\decoding.py", line 703, in _main_loop
File "whisper\decoding.py", line 283, in update
File "torch\distributions\categorical.py", line 73, in init

super().__init__(batch_shape, validate_args=validate_args)

File "torch\distributions\distribution.py", line 72, in init

raise ValueError(

ValueError: Expected parameter logits (Tensor of shape (1, 51866)) of distribution Categorical(logits: torch.Size([1, 51866])) to satisfy the constraint IndependentConstraint(Real(), 1), but found invalid values:
tensor([[nan, nan, nan, ..., nan, nan, nan]], device='cuda:0')

TaskCfg(cache_folder='C:/Users/Administrator/Documents/11/tmp/4696/acac0fcd6a', target_dir='/192.168.50.88/hh日本🇯🇵-2/1111/1995-嶋野遥香/_video_out/1995-嶋野遥香-mp4', remove_noise=False, is_separate=False, detect_language='ja', subtitle_language=None, source_language='日语', target_language='简体中文', source_language_code='ja', target_language_code='zh-cn', source_sub='/192.168.50.88/hh日本🇯🇵-2/1111/1995-嶋野遥香/_video_out/1995-嶋野遥香-mp4/ja.srt', target_sub='/192.168.50.88/hh日本🇯🇵-2/1111/1995-嶋野遥香/_video_out/1995-嶋野遥香-mp4/zh-cn.srt', source_wav='C:/Users/Administrator/Documents/11/tmp/4696/acac0fcd6a/ja.wav', source_wav_output='/192.168.50.88/hh日本🇯🇵-2/1111/1995-嶋野遥香/_video_out/1995-嶋野遥香-mp4/ja.m4a', target_wav='C:/Users/Administrator/Documents/11/tmp/4696/acac0fcd6a/target.wav', target_wav_output='/192.168.50.88/hh日本🇯🇵-2/1111/1995-嶋野遥香/_video_out/1995-嶋野遥香-mp4/zh-cn.m4a', subtitles='', novoice_mp4='C:/Users/Administrator/Documents/11/tmp/4696/acac0fcd6a/novoice.mp4', noextname='1995-嶋野遥香', shibie_audio=None, targetdir_mp4='/192.168.50.88/hh日本🇯🇵-2/1111/1995-嶋野遥香/_video_out/1995-嶋野遥香-mp4/1995-嶋野遥香.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=True, clear_cache=True, translate_type=14, tts_type=0, recogn_type=1, model_name='large-v3-turbo', split_type=0, voice_autorate=False, video_autorate=False, cuda=True, name='//192.168.50.88/hh日本🇯🇵-2/1111/1995-嶋野遥香/1995-嶋野遥香.mp4', basename='1995-嶋野遥香.mp4', ext='mp4', dirname='//192.168.50.88/hh日本🇯🇵-2/1111/1995-嶋野遥香', shound_del_name=None, uuid='acac0fcd6a', remove_silent_mid=False, align_sub_audio=True, enable_diariz=False, nums_diariz=0, rephrase=2, only_out_mp4=False)

=
system:Windows-10-10.0.19045-SP0
version:v3.90
frozen:True
language:zh
root_dir:C:/Users/Administrator/Documents/11

1 Replies

Floor #1 DeepSeek Posted at 18 hours ago

您遇到的错误是 openai-whisper 本地识别时，模型输出的 logits 张量出现了 NaN（非数字）值，这通常与模型文件损坏、CUDA计算不稳定或显存问题有关。

核心解决方案：更换语音识别模型或修复模型文件。

请按以下步骤操作：

  1. 更换识别模型（推荐）：

    • 在主界面第2行“语音识别”处，将模型从 openai-whisper(本地) 切换为 faster-whisper(本地)。
    • faster-whisper 是更稳定、更节省显存的替代方案，功能相同。

  2. 如果必须使用 openai-whisper，请尝试修复：

    • 重新下载模型：模型文件可能已损坏。请删除缓存目录中的模型文件。默认路径通常在 C:\Users\[用户名]\.cache\whisper\ 下，删除 large-v3-turbo 文件夹（或您选择的模型文件夹），软件会在下次运行时自动重新下载。
    • 调整计算精度：在菜单栏选择 工具/选项 -> 高级选项，找到“Faster/OpenAI/Whisper 语音识别微调”区域，尝试将 CUDA数据类型 从 float16 改为 float32（如果当前是 float16），或反之。这可以解决某些CUDA下的数值稳定性问题。
    • 降低识别参数：在同一区域，将 beam_size 和 best_of 的值都设为 1，以降低计算复杂度。

  3. 检查视频/音频文件：

    • 确保您处理的视频文件本身音频轨道正常，可以尝试用其他播放器播放确认。
    • 路径 //192.168.50.88/... 是网络路径，请确保网络连接稳定，文件可正常访问。

首选方案是直接切换到 faster-whisper(本地) 模型，这是最快速有效的解决方法。

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