#7064 语音识别阶段出错[faster-whisper(本地内置)] No transcription results returned. Please check the original audio/video or model and try

120.238**4 Posted at: 2 hours ago

语音识别阶段出错[faster-whisper(本地内置)] No transcription results returned. Please check the original audio/video or model and try again.
info=TranscriptionInfo(language='ja', language_probability=1, duration=1256.6186875, duration_after_vad=0.0, all_language_probs=None, transcription_options=TranscriptionOptions(beam_size=5, best_of=5, patience=1, length_penalty=1, repetition_penalty=1.0, no_repeat_ngram_size=0, log_prob_threshold=-1.0, no_speech_threshold=0.6, compression_ratio_threshold=2.4, condition_on_previous_text=False, prompt_reset_on_temperature=0.5, temperatures=[0.0, 0.2, 0.4, 0.6, 0.8, 1.0], initial_prompt=None, prefix=None, suppress_blank=True, suppress_tokens=(1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 359, 503, 522, 542, 873, 893, 902, 918, 922, 931, 1350, 1853, 1982, 2460, 2627, 3246, 3253, 3268, 3536, 3846, 3961, 4183, 4667, 6585, 6647, 7273, 9061, 9383, 10428, 10929, 11938, 12033, 12331, 12562, 13793, 14157, 14635, 15265, 15618, 165
......
ription_options=TranscriptionOptions(beam_size=5, best_of=5, patience=1, length_penalty=1, repetition_penalty=1.0, no_repeat_ngram_size=0, log_prob_threshold=-1.0, no_speech_threshold=0.6, compression_ratio_threshold=2.4, condition_on_previous_text=False, prompt_reset_on_temperature=0.5, temperatures=[0.0, 0.2, 0.4, 0.6, 0.8, 1.0], initial_prompt=None, prefix=None, suppress_blank=True, suppress_tokens=(1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 359, 503, 522, 542, 873, 893, 902, 918, 922, 931, 1350, 1853, 1982, 2460, 2627, 3246, 3253, 3268, 3536, 3846, 3961, 4183, 4667, 6585, 6647, 7273, 9061, 9383, 10428, 10929, 11938, 12033, 12331, 12562, 13793, 14157, 14635, 15265, 15618, 16553, 16604, 18362, 18956, 20075, 21675, 22520, 26130, 26161, 26435, 28279, 29464, 31650, 32302, 32470, 36865, 42863, 47425, 49870, 50254, 50258, 50359, 50360, 50361, 50362, 50363), without_timestamps=False, max_initial_timestamp=1.0, word_timestamps=True, prepend_punctuations='"\'“¿([{-', append_punctuations='"\'.。,,!!??::”)]}、', multilingual=False, max_new_tokens=None, clip_timestamps=[0.0], hallucination_silence_threshold=None, hotwords=''), vad_options=VadOptions(threshold=0.5, neg_threshold=None, min_speech_duration_ms=0, max_speech_duration_s=inf, min_silence_duration_ms=140, speech_pad_ms=400))
cfg=[TaskCfgVTT]当前工作模式: 翻译视频或音频 批量翻译模式
原始输入文件名: C:/Users/Administrator/Desktop/99081_20200914_231014_CDyu3ZhecHGb7nj.mp4,
输出结果保存到文件夹: D:/BaiduNetdiskDownload/Windows/win-pyvideotrans-v4.07/99081_20200914_231014_CDyu3ZhecHGb7nj-mp4,
临时文件夹: D:/BaiduNetdiskDownload/Windows/win-pyvideotrans-v4.07/tmp/8588/324614b9dd
已选 清理已存在
已选 启用CUDA加速
未选 降噪
语音识别:faster-whisper(本地内置), model_name: large-v3-turbo, 发音语言: 日语, 断句方式:默认断句
翻译渠道:DeepSeek,原始语言:日语,目标语言:简体中文, 已选 发送完整字幕
未选 配音角色,不进行配音
字幕: 嵌入硬字幕
已选 仅输出mp4
代理地址:


=
system:Windows-10-10.0.19044-SP0
version:v4.07
frozen:True
language:zh
root_dir:D:/BaiduNetdiskDownload/Windows/win-pyvideotrans-v4.07

1 Replies

#1 DeepSeek reply at 2 hours ago

核心原因:faster-whisper 在 VAD(语音活动检测)阶段将整段音频全部判定为静音,duration_after_vad=0.0 说明有效人声时长为 0。这通常由以下情况导致:音频本身无有效人声、音量过低、背景噪音过大,或 VAD 阈值设置不当。

请按顺序排查:

  1. 确认原始视频确实有清晰人声:用播放器播放原视频,确认存在真实的说话声,而非纯背景音乐或静音。
  2. 降低 VAD 灵敏度:在 菜单 → 工具 → 高级选项 → 语音识别参数 中,将「语音阈值」调小(如 0.3),「非语音阈值」也适当调小,或将「选择VAD」改为更宽松的模式。
  3. 启用「降噪」和「分离人声背景声」:在主界面点击 设置更多参数,勾选「降噪」,再勾选「分离人声背景声」,让软件先分离出人声再进行识别。
  4. 更换识别模型large-v3-turbo 可能对某些音频不敏感,可尝试 large-v3medium 模型。
  5. 升级软件:当前版本为 v4.07,建议升级至最新版本 v4.11,已修复多项识别相关问题。

如果以上都无效,请提供以下信息以便进一步分析:

  • 软件安装目录下 logs/ 文件夹中最新日志文件(复制底部约30行)
  • 原始视频是否含人声、音轨信息
  • 是否已科学上网(因模型可能下载不完整)

请查阅相关文档:

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