#8262 语音识别阶段出错[Qwen-ASR(内置)] Qwen3ASREncoder expects `padded_feature_length` to be a multiple of `n_window * 2` (100), but got

35.199**1 Posted at: 1 hour ago

语音识别阶段出错[Qwen-ASR(内置)] Qwen3ASREncoder expects padded_feature_length to be a multiple of n_window * 2 (100), but got 1315.:Traceback (most recent call last):
File "videotrans\process\stt_qwen.py", line 83, in qwen3asr_fun
File "D:\Translator\win-pyvideotrans-v4.16\_internal\torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "D:\Translator\win-pyvideotrans-v4.16\_internal\transformers\generation\utils.py", line 2645, in generate

result = decoding_method(

File "D:\Translator\win-pyvideotrans-v4.16\_internal\transformers\generation\utils.py", line 2845, in _sample

outputs = self._prefill(

File "D:\Translator\win-pyvideotrans-v4.16\_internal\transformers\generation\utils.py", line 3896, in _prefill

return self(**model_inputs, return_dict=True)

File "D:\Translator\win-pyvideotrans-v4.16\_internal\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl

return self._call_impl(*args, **kwargs)

Fil
......
udio_embeds = self.get_audio_features(input_features, input_features_mask, return_dict=True).pooler_output
File "D:\Translator\win-pyvideotrans-v4.16\_internal\transformers\utils\generic.py", line 911, in wrapper

output = func(self, *args, **kwargs)

File "D:\Translator\win-pyvideotrans-v4.16\_internal\transformers\models\qwen3_asr\modeling_qwen3_asr.py", line 494, in get_audio_features

audio_output = self.audio_tower(

File "D:\Translator\win-pyvideotrans-v4.16\_internal\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl

return self._call_impl(*args, **kwargs)

File "D:\Translator\win-pyvideotrans-v4.16\_internal\torch\nn\modules\module.py", line 1762, in _call_impl

return forward_call(*args, **kwargs)

File "D:\Translator\win-pyvideotrans-v4.16\_internal\transformers\utils\output_capturing.py", line 252, in wrapper

outputs = func(self, *args, **kwargs)

File "D:\Translator\win-pyvideotrans-v4.16\_internal\transformers\models\qwen3_asr\modeling_qwen3_asr.py", line 383, in forward

raise ValueError(

ValueError: Qwen3ASREncoder expects padded_feature_length to be a multiple of n_window * 2 (100), but got 1315.
trk=[TransCreate]: uuid='0bfae633bb', proxy_str='http://127.0.0.1:7897', cfg=[TaskCfgVTT]当前工作模式: 转录并翻译字幕
原始输入文件名: C:/Users/abc/Downloads/待翻译/test.m4a,
输出结果保存到文件夹: C:/Users/abc/Downloads/_video_out/待翻译/test-m4a,
临时文件夹: D:/Translator/win-pyvideotrans-v4.16/tmp/2900/0bfae633bb
已选 清理已存在
已启用CUDA加速
未选 降噪
语音识别:Qwen-ASR(内置), 1.7B, 发音语言: 英语,
翻译渠道:本地大模型(兼容OpenAI),原始语言:英语,目标语言:简体中文, 已选 发送完整字幕
输出字幕格式: 单字幕
代理地址: http://127.0.0.1:7897, precent=4, hasend=False, should_recogn=True, should_trans=True, should_dubbing=False, should_hebing=False, is_copy_video=False, video_codec_num=264, ignore_align=False, is_audio_trans=True, clone_ref='', should_recogn2=False, do_diarize=False


=
system:Windows-10-10.0.26200-SP0
version:v4.16
frozen:True
language:zh_CN
root_dir:D:/Translator/win-pyvideotrans-v4.16

1 Replies

#1 DeepSeek reply at 1 hour ago

该报错并非配置或密钥问题,而是 Qwen3-ASR 模型内部(transformers 实现)对送入的音频特征长度有硬性整除约束(必须是 n_window*2=100 的倍数),本次切片长度为 1315,因此模型在音频编码器入口直接抛出 ValueError。知识库中暂无该错误的对应该条目,无法确认为已知 bug 还是特定音频切片长度触发。

建议按以下顺序处理:

  1. 先完成任务:临时将主界面语音识别渠道改为 faster-whisper(内置) + 模型 large-v3(或 large-v3-turbo),重新勾选清理已生成再执行。这是当前最稳妥的绕行方案。
  2. 调整切片长度后再试 Qwen-ASR:进入 菜单-工具-高级选项-语音识别参数,将 最长语音持续(秒) 调小(例如由 5 改为 3),最短语音持续(毫秒) 保持 3000 以上,重新勾选清理已生成后重试,避免产生过长的单个语音片段。
  3. 确认模型完整性:若模型下载不完整也可能触发异常,可检查 软件目录/models/models--Qwen--Qwen3-ASR-1.7B-hf 内文件是否齐全,必要时删除后重新下载(或手动下载覆盖)。
  4. 反馈日志:若换用 faster-whisper 后仍出现同类整除报错,请提供 D:/Translator/win-pyvideotrans-v4.16/logs/ 下最新日志文件底部约 30 行内容,以便定位是否为程序侧切片逻辑问题。

补充建议:由于你同时使用了 代理 http://127.0.0.1:7897 与本地模型,本地识别本身不需要代理,若后续出现模型下载或本地服务连接异常,可临时清空该代理框再测试。

请查阅相关文档:

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