#4982 TaskCfgVTT(uuid='724416a535', name='C:/Users/yue/Desktop/1000.mp4', dirname='C:/Users/yue/Desktop', noextname='1000', ba

240e:3a1* Posted at: 10 hours ago

No transcription results returned. Please check the original audio/video or model and try again.语音识别阶段出错:faster-whisper(本地), 翻译字幕阶段出错: Google(免费), 配音阶段出错:Edge-TTS(免费)
Traceback (most recent call last):
File "videotrans\task\only_one.py", line 47, in run
File "videotrans\task\trans_create.py", line 322, in recogn
File "videotrans\recognition\__init__.py", line 190, in run
File "videotrans\recognition\_base.py", line 94, in run
File "videotrans\recognition\_whisper.py", line 36, in _exec
File "videotrans\recognition\_whisper.py", line 109, in _faster
File "videotrans\configure\base.py", line 253, in _new_process
videotrans.configure.excepts.VideoTransError: No transcription results returned. Please check the original audio/video or model and try again.
TaskCfgVTT(uuid='724416a535', name='C:/Users/yue/Desktop/1000.mp4', dirname='C:/Users/yue/Desktop', noextname='1000', basename='1000.mp4', ext='mp4', target_dir='C:/Users/yue/Desktop/_video_out/1000-mp4', cache_folder='D:/pyVideoTrans/tmp/52584/724416a535', is_cuda=False, source_language='简体中文', source_language_code='zh-cn', source_sub='C:/Users/yue/Desktop/_video_out/1000-mp4/zh-cn.srt', source_wav='D:/pyVideoTrans/tmp/52584/724416a535/remove_noise.wav', source_wav_output='C:/Users/yue/Desktop/_video_out/1000-mp4/zh-cn.m4a', target_language='英语', target_language_code='en', target_sub='C:/Users/yue/Desktop/_video_out/1000-mp4/en.srt', target_wav='D:/pyVideoTrans/tmp/52584/724416a535/target.wav', target_wav_output='C:/Users/yue/Desktop/_video_out/1000-mp4/en.m4a', translate_type=0, tts_type=0, volume='+0%', pitch='+0Hz', voice_rate='+0%', voice_role='No', voice_autorate=True, video_autorate=False, remove_silent_mid=False, align_sub_audio=True, detect_language='zh-cn', recogn_type=0, model_name='base', shibie_audio=None, remove_noise=True, enable_diariz=False, nums_diariz=0, rephrase=0, fix_punc=False, subtitle_language=None, app_mode='biaozhun', subtitles='', targetdir_mp4='C:/Users/yue/Desktop/_video_out/1000-mp4/1000.mp4', novoice_mp4='D:/pyVideoTrans/tmp/52584/724416a535/novoice.mp4', is_separate=True, embed_bgm=True, instrument='D:/pyVideoTrans/tmp/52584/724416a535/instrument.wav', vocal='D:/pyVideoTrans/tmp/52584/724416a535/vocal.wav', clear_cache=True, background_music='', subtitle_type=1, only_out_mp4=False, recogn2pass=False, output_srt=0, copysrt_rawvideo=False, loop_backaudio=1, backaudio_volume=0.8)


=
system:Windows-10-10.0.26200-SP0
version:v4.01
frozen:True
language:zh
root_dir:D:/pyVideoTrans

1 Replies

语音识别阶段未返回任何结果,说明 faster-whisper(base) 模型未能从音频中提取出有效文本。常见原因包括:音频中无人声、原始语言选择错误、模型下载不完整,或背景噪声干扰导致无声输出。

请按以下步骤排查:

  1. 验证视频音轨:用播放器打开 1000.mp4,确认视频确实包含人类说话声,且语言为简体中文。如果只有背景音乐或无语音,软件无法处理。
  2. 临时关闭附加功能:当前开启了“降噪”和“分离人声背景声”,这两个步骤会显著增加处理时间,且可能因模型加载失败导致结果为空。建议:

    • 取消勾选主界面的“降噪”。
    • 在“设置更多参数”中取消“分离人声背景声”。
    • 重新执行,仅保留基础的语音识别。
  3. 更换语音识别渠道:对于中文语音,faster-whisper(base) 模型太小且准确率低。强烈建议改用 Qwen-ASR(本地)阿里FunASR(本地),它们对中文支持更好:

    • 主界面“语音识别”下拉框中选择 qwen-asr(本地)阿里FunASR(本地),模型选择 paraformer-zh
    • 首次使用会自动下载模型,请保持网络畅通。
  4. 检查模型文件:若仍失败,请查看软件目录下的 models/ 文件夹,确认 faster-whisper-base 模型已完整下载(文件夹名应为 models--Systran--faster-whisper-base)。若未下载或损坏,可手动下载后放入该目录。
  5. 提供日志:如果以上步骤无效,请打开软件根目录的 logs/ 文件夹,将最近日期的 .log 文件底部约30行内容粘贴给我,以便进一步分析。

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