#7946 The maximum decoding length must be > 0:Traceback (most recent call last): File

59.36**9 Posted at: 1 hour ago

勾选上下文感知后出现这样

The maximum decoding length must be > 0:Traceback (most recent call last):
File "videotrans\process\stt_faster.py", line 139, in faster_whisper
File "faster_whisper\transcribe.py", line 1851, in restore_speech_timestamps
File "faster_whisper\transcribe.py", line 1213, in generate_segments
File "faster_whisper\transcribe.py", line 1446, in generate_with_fallback
ValueError: The maximum decoding length must be > 0

Traceback (most recent call last):
File "videotrans\task\only_one.py", line 71, in run
File "videotrans\task\_stage_recogn.py", line 63, in recogn
File "videotrans\recognition\__init__.py", line 141, in run
File "videotrans\recognition\_base.py", line 101, in run
File "videotrans\recognition\_whisper.py", line 39, in _exec
File "videotrans\recognition\_whisper.py", line 137, in _faster
File "videotrans\configure\base.py", line 277, in _new_process
videotrans.configure.excepts.VideoTransError: The maximum decoding length
......
py", line 139, in faster_whisper
File "faster_whisper\transcribe.py", line 1851, in restore_speech_timestamps
File "faster_whisper\transcribe.py", line 1213, in generate_segments
File "faster_whisper\transcribe.py", line 1446, in generate_with_fallback
ValueError: The maximum decoding length must be > 0

trk=[TransCreate]: uuid='c28ee9fbfb', proxy_str=None, cfg=[TaskCfgVTT]当前工作模式: 翻译视频 单视频模式
原始输入文件名: C:/Users/Administrator/Desktop/国外讲液压符号/液压符号识别ISO、CETOP标准第五集.mp4,
输出结果保存到文件夹: C:/Users/Administrator/Desktop/国外讲液压符号/_video_out/液压符号识别ISO、CETOP标准第五集-mp4,
临时文件夹: C:/Users/Administrator/Desktop/win-pyvideotrans-v4.15/win-pyvideotrans-v4.15/tmp/8708/c28ee9fbfb
已选 清理已存在
已启用CUDA加速
未选 降噪
语音识别:faster-whisper(内置), large-v3-turbo, 发音语言: 西班牙语(拉美),
翻译渠道:DeepSeek,原始语言:西班牙语(拉美),目标语言:简体中文, 已选 发送完整字幕
配音渠道:Edge-TTS(免费), 角色:Yunyang(Male/CN), 配音语言:简体中文, 未选 二次语音识别
音量:+0%, 语速:+0%, 已选 音频加速, 未选 视频慢速
已选 移除每条字幕配音开头和结尾静音缓冲
静音移除力度: default
字幕: 嵌入硬字幕 , precent=4, hasend=False, should_recogn=True, should_trans=True, should_dubbing=True, should_hebing=True, is_copy_video=True, video_codec_num=264, ignore_align=False, is_audio_trans=False, clone_ref='', should_recogn2=False, do_diarize=True
trk.cfg=[TaskCfgVTT]当前工作模式: 翻译视频 单视频模式
原始输入文件名: C:/Users/Administrator/Desktop/国外讲液压符号/液压符号识别ISO、CETOP标准第五集.mp4,
输出结果保存到文件夹: C:/Users/Administrator/Desktop/国外讲液压符号/_video_out/液压符号识别ISO、CETOP标准第五集-mp4,
临时文件夹: C:/Users/Administrator/Desktop/win-pyvideotrans-v4.15/win-pyvideotrans-v4.15/tmp/8708/c28ee9fbfb
已选 清理已存在
已启用CUDA加速
未选 降噪
语音识别:faster-whisper(内置), large-v3-turbo, 发音语言: 西班牙语(拉美),
翻译渠道:DeepSeek,原始语言:西班牙语(拉美),目标语言:简体中文, 已选 发送完整字幕
配音渠道:Edge-TTS(免费), 角色:Yunyang(Male/CN), 配音语言:简体中文, 未选 二次语音识别
音量:+0%, 语速:+0%, 已选 音频加速, 未选 视频慢速
已选 移除每条字幕配音开头和结尾静音缓冲
静音移除力度: default
字幕: 嵌入硬字幕
video_duration_ms=1320300


=
system:Windows-10-10.0.19044-SP0
version:v4.15
frozen:True
language:zh_CN
root_dir:C:/Users/Administrator/Desktop/win-pyvideotrans-v4.15/win-pyvideotrans-v4.15

1 Replies

#1 DeepSeek reply at 1 hour ago

该报错出现在 faster-whisper 内部解码阶段(generate_with_fallback → restore_speech_timestamps),与你勾选的「启用上下文感知(Enable context awareness)」直接相关。知识库中已明确说明:启用上下文感知会占用更多 GPU、更容易出现重复或幻觉,属于不稳定参数。

处理步骤:

  1. 打开 菜单(Menu) → 工具/选项(Tools/Options) → 高级选项(Advanced Options) → 语音识别参数(ASR Settings)
  2. 将 启用上下文感知(Enable context awareness) 取消勾选(保持默认关闭状态),保存
  3. 同一区域可顺带做以下降载调整(该报错也与解码资源紧张有关):

    • 计算数据类型(Compute data type) 改为 int8 或 float16
    • 识别准确度beam_size 调为 1
    • 识别准确度best_of 调为 1
  4. 回到主界面,勾选「清理已生成」后重新执行(否则会复用失败前已生成的缓存文件)

若必须使用上下文感知以获得更好效果:

  • 将语音识别模型从 large-v3-turbo 换为 large-v3,或改用 openai-whisper(内置)
  • 确保显存充足(large-v3 基础需约 8GB 闲置显存),并确认 高级选项-通用-GPU 同时任务数`为 1

按上述取消 启用上下文感知 后若仍复现同一错误,请提供软件安装目录下 logs/ 文件夹中最新的日志文件底部约 30 行报错信息,以及该视频的时长、分辨率信息以便进一步分析。

请查阅相关文档:

Thinking...
Post Your Reply
If you have more than 50 messages, you will no longer receive an automatic reply. Please ask a new question!
Open source and free maintenance is not easy. If this project is helpful to you, please consider making a small donation to help the project continue to maintain and update.

Dondate via ko-fi.com

Related resource