#6469 non-negative timestamp expected:Traceback (most recent call last): File

2408:**:c384 Posted at: 2 hours ago

non-negative timestamp expected:Traceback (most recent call last):
File "videotrans\process\stt_faster.py", line 118, in faster_whisper
File "faster_whisper\transcribe.py", line 460, in transcribe
File "faster_whisper\utils.py", line 124, in format_timestamp
AssertionError: non-negative timestamp expected

Traceback (most recent call last):
File "videotrans\task\only_one.py", line 62, in run
File "videotrans\task\_stage_recogn.py", line 62, in recogn
File "videotrans\recognition\__init__.py", line 206, in run
File "videotrans\recognition\_base.py", line 92, in run
File "videotrans\recognition\_whisper.py", line 41, in _exec
File "videotrans\recognition\_whisper.py", line 129, in _faster
File "videotrans\configure\base.py", line 267, in _new_process
videotrans.configure.excepts.VideoTransError: non-negative timestamp expected:Traceback (most recent call last):
File "videotrans\process\stt_faster.py", line 118, in faster_whisper
File "faster_whisper\transcribe.py", line 460, in transcribe
File "faster_whisper\utils.py", line 124, in format_timestamp
AssertionError: non-negative timestamp expected

cfg=[TaskCfgVTT]当前工作模式: 翻译视频或音频 单视频模式
原始输入文件名: C:/Users/Administrator/Desktop/翻译片段/6.mp4,
输出结果保存到文件夹: C:/Users/Administrator/Desktop/翻译片段/翻译输出/6-mp4,
临时文件夹: D:/win-pyvideotrans-v4.08/tmp/3196/0c31bb41c8
未选 清理已存在
已启用CUDA加速
未选 降噪
已选 识别说话人,最大说话人数量不限制
语音识别:faster-whisper(内置), model_name: large-v3, 发音语言: 简体中文, 断句方式:默认断句
翻译渠道:Google(免费),原始语言:简体中文,目标语言:英语, 已选 发送完整字幕
配音渠道:Qwen3-TTS(内置), 角色:clone, 配音语言:英语, 未选 二次语音识别
音量:+100%, 语速:+0%, 已选 音频加速, 未选 视频慢速
字幕: 嵌入硬字幕
已选 仅输出mp4
代理地址:


=
system:Windows-10-10.0.19045-SP0
version:v4.08
frozen:True
language:zh
root_dir:D:/win-pyvideotrans-v4.08

1 Replies

这个错误是 faster-whisper 在识别音频时,内部检测到负数时间戳触发的断言失败,通常与音频流异常或 CUDA 计算不稳定有关。

建议按以下顺序排查:

  1. 检查视频文件完整性:用播放器确认 6.mp4 可以正常播放、无卡顿或花屏;必要时用 ffmpeg 重新转封装一次再导入。
  2. 关闭 CUDA 加速:日志显示你启用了 CUDA 加速,可先取消「CUDA加速」用 CPU 模式运行一次,排除显存不足或 CUDA 计算异常导致的浮点越界。
  3. 缩小模型或换渠道large-v3 模型对显存要求高(≥8GB)。可先尝试 medium 模型,或改用 openai-whisper(内置) 渠道作为对照。
  4. 关闭说话人识别:日志显示你勾选了「识别说话人」,该功能会增加识别后处理的复杂度,可先关闭它再运行。
  5. 确认临时目录无残留异常:删除临时文件夹 D:/win-pyvideotrans-v4.08/tmp/3196/0c31bb41c8 后重试。

如果以上步骤仍无法解决,请提供软件安装目录下 logs/ 文件夹中最新的日志文件(复制底部约30行报错信息)。

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