#7439 原始输入文件名: //192.168.0.200/huweiba/素材分类/Tiktok/9.02/#drama #shorts #tiktok (2).mp4, 输出结果保存到文件夹: //192.168.0.200/huweiba/素材

13.231**8 Posted at: 3 hours ago

原始输入文件名: //192.168.0.200/huweiba/素材分类/Tiktok/9.02/#drama #shorts #tiktok (2).mp4,
输出结果保存到文件夹: //192.168.0.200/huweiba/素材分类/Tiktok/9.02/_video_out/#drama #shorts #tiktok (2)-mp4,
临时文件夹: D:/软件/win-pyvideotrans-v4.12-0913/tmp/21048/565e176c2a
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, 发音语言: 自动检测, 断句方式:默认断句
翻译渠道:微软(免费),原始语言:自动检测,目标语言:日语, 已选 发送完整字幕
配音渠道:Edge-TTS(免费), 角色:Keita(Male/JP), 配音语言:日语, 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
字幕: 嵌入硬字幕
已选 分离人声与背景声, 已选 重新嵌入背景声, 背景音量1.2, 背景声音时长 短于 视频时长时: 拉长(降速播放)
[DEBUG] The file info after process:result={'video_fps': 30.0, 'r_frame_rate': 30.0, 'video_codec_name': 'hevc', 'audio_codec_name': 'aac', 'width': 1080, 'height': 1920, 'time': 147633, 'streams_len': 2, 'streams_audio': 1, 'video_streams': 1, 'color': 'yuv420p'}
[DEBUG] 原始hw_type='h264_nvenc'
[DEBUG] 整理后hw_type='nvenc'
[DEBUG] [尝试硬件编解码执行命令]
-y -fflags +genpts -i //192.168.0.200/huweiba/素材分类/Tiktok/9.02/#drama #shorts #tiktok (2).mp4 -an -c:v h264_nvenc
......
rocess\_audio_separate.py", line 98, in create_offline_source_separation
ValueError: Please check your config.
Traceback (most recent call last):
File "videotrans\process\_audio_separate.py", line 118, in vocal_bgm_spleeter
File "videotrans\process\_audio_separate.py", line 98, in create_offline_source_separation
ValueError: Please check your config.
[DEBUG] [新进程任务 title='正在分离人声和背景音,可能耗时较久'] 已返回
[ERROR] 正在分离人声和背景音,可能耗时较久,Please check your config.Traceback (most recent call last):
File "videotrans\process\_audio_separate.py", line 118, in vocal_bgm_spleeter
File "videotrans\process\_audio_separate.py", line 98, in create_offline_source_separation
ValueError: Please check your config.
Traceback (most recent call last):
File "videotrans\configure\base.py", line 264, in _new_process
videotrans.configure.excepts.VideoTransError: Please check your config.Traceback (most recent call last):
File "videotrans\process\_audio_separate.py", line 118, in vocal_bgm_spleeter
File "videotrans\process\_audio_separate.py", line 98, in create_offline_source_separation
ValueError: Please check your config.

[DEBUG] [新进程任务 结束:title='正在分离人声和背景音,可能耗时较久'],耗时1.0127887725830078s
[ERROR] 人声背景声分离失败,静默跳过 Please check your config.Traceback (most recent call last):
File "videotrans\process\_audio_separate.py", line 118, in vocal_bgm_spleeter
File "videotrans\process\_audio_separate.py", line 98, in create_offline_source_separation
ValueError: Please check your config.
Traceback (most recent call last):
File "videotrans\task\_stage_prepare.py", line 225, in _split_audio_byraw
File "videotrans\configure\base.py", line 264, in _new_process
videotrans.configure.excepts.VideoTransError: Please check your config.Traceback (most recent call last):
File "videotrans\process\_audio_separate.py", line 118, in vocal_bgm_spleeter
File "videotrans\process\_audio_separate.py", line 98, in create_offline_source_separation
ValueError: Please check your config.

1 Replies

#1 DeepSeek reply at 3 hours ago

核心原因:人声背景声分离模型 spleeter 加载/初始化失败,报错 ValueError: Please check your config.。通常是该模型文件缺失、下载不完整或与当前环境不匹配导致的。

解决方案:

  1. 进入 菜单 → 工具 → 高级选项 → 通用设置 → 分离背景声模型,将模型由 spleeter 更换为 onnx(或下拉内其他可用模型)后重试。
  2. 若必须使用 spleeter,请先删除 软件目录/models 下与 spleeter 相关的模型目录,再重新下载;由于模型多存储于国外站点,下载不稳定,建议手动下载后放入指定目录。
  3. 由于分离人声背景声为纯 CPU 计算且极易失败,也可直接取消主界面的「分离人声与背景声」和「重新嵌入背景声」选项,先跑通主流程;如需背景音,建议用 UVR5 等第三方工具预分离后,按外部人声/背景声方式导入。

补充:日志显示 发音语言: 自动检测 + 翻译渠道 微软(免费),若后续仍走自动检测可能触发不翻译/异常,建议明确指定发音语言。

请查阅相关文档:

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