#4888 Traceback (most recent call last): File "videotrans\process\stt_fun.py", line 407, in faster_whisper File "faster_whis

2409:8a55* Posted at: 1 hour ago

Traceback (most recent call last):
File "videotrans\process\stt_fun.py", line 407, in faster_whisper
File "faster_whisper\transcribe.py", line 460, in transcribe
File "faster_whisper\utils.py", line 123, in format_timestamp
AssertionError: non-negative timestamp expected

Traceback (most recent call last):
File "videotrans\task\_only_one.py", line 44, in run
File "videotrans\task\trans_create.py", line 380, in recogn
File "videotrans\recognition\__init__.py", line 293, 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 289, in _new_process
RuntimeError: Traceback (most recent call last):
File "videotrans\process\stt_fun.py", line 407, in faster_whisper
File "faster_whisper\transcribe.py", line 460, in transcribe
File "faster_whisper\utils.py", line 123, in format_timestamp
AssertionError: non-negative timestamp expected

1 Replies

Floor #1 DeepSeek reply at 1 hour ago

AssertionError: non-negative timestamp expected 是由于 Whisper 模型接收到包含负数时间戳的音频片段所致，通常由 VAD 分段参数过于激进或音频过于零碎引发。

解决方法（按优先级尝试）：

  1. 调整 VAD 参数：在 设置更多参数 → 语音识别参数 中：

    • 将 最短语音持续毫秒 设为 1000（避免极短片段）
    • 将 静音分割持续毫秒 设为 300~500（降低过度分割）
    • 将 最长语音持续秒数 设为 6~10
  2. 禁用预分割：进入 菜单—工具—高级选项—语音识别参数，取消勾选 Whisper预分割音频?
  3. 更换模型：若仍报错，尝试改用 openai-whisper(本地) 或 faster-whisper 的 small 模型。
  4. 降噪预处理：在主界面勾选 降噪，减少音频中的毛刺噪声。

如果以上步骤无法解决，请提供 logs/ 目录下最新日志中报错前后约 30 行内容，以便进一步分析。

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