#5997 Whisper.net recognition failed: Method not found: 'System.TimeSpan System.TimeSpan.FromMilliseconds(Int64)'. at Whispe

Whisper.net recognition failed: Method not found: 'System.TimeSpan System.TimeSpan.FromMilliseconds(Int64)'.
at Whisper.net.WhisperProcessor.OnNewSegment(IntPtr state)
at Whisper.net.WhisperProcessor.OnNewSegmentStatic(IntPtr ctx, IntPtr state, Int32 nNew, IntPtr userData)
at Whisper.net.Internals.Native.Implementations.LibraryImportLibWhisper.whisper_full_with_state(IntPtr context, IntPtr state, WhisperFullParams parameters, IntPtr samples, Int32 nSamples)
at Whisper.net.WhisperProcessor.Process(ReadOnlySpan`1 samples)
at Whisper.net.WhisperProcessor.Process(Single[] samples)
at Whisper.net.WhisperProcessor.Process(Stream waveStream)
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeDirectByRefWithFewArgs(Object obj, Span`1 copyOfArgs, BindingFlags invokeAttr)
Traceback (most recent call last):
File "H:\pyvideotrans\videotrans\recognition\_wh
......
= run_recogn(
File "H:\pyvideotrans\videotrans\recognition\__init__.py", line 205, in run

return _cls(**kwargs).run()  # type:ignore

File "H:\pyvideotrans\videotrans\recognition\_base.py", line 92, in run

res = self._exec()

File "H:\pyvideotrans\videotrans\recognition\_whispernet.py", line 285, in _exec

raise SpeechToTextError(f"Whisper.net recognition failed: {str(e)}")

videotrans.configure.excepts.SpeechToTextError: Whisper.net recognition failed: Method not found: 'System.TimeSpan System.TimeSpan.FromMilliseconds(Int64)'.
at Whisper.net.WhisperProcessor.OnNewSegment(IntPtr state)
at Whisper.net.WhisperProcessor.OnNewSegmentStatic(IntPtr ctx, IntPtr state, Int32 nNew, IntPtr userData)
at Whisper.net.Internals.Native.Implementations.LibraryImportLibWhisper.whisper_full_with_state(IntPtr context, IntPtr state, WhisperFullParams parameters, IntPtr samples, Int32 nSamples)
at Whisper.net.WhisperProcessor.Process(ReadOnlySpan`1 samples)
at Whisper.net.WhisperProcessor.Process(Single[] samples)
at Whisper.net.WhisperProcessor.Process(Stream waveStream)
at System.RuntimeMethodHandle.InvokeMethod(Object target, Void** arguments, Signature sig, Boolean isConstructor)
at System.Reflection.MethodBaseInvoker.InvokeDirectByRefWithFewArgs(Object obj, Span`1 copyOfArgs, BindingFlags invokeAttr)

cfg=[TaskCfgVTT]当前工作模式: 翻译视频或音频 单视频模式
原始输入文件名: G:/1.mp4,
输出结果保存到文件夹: G:/_video_out/1-mp4,
临时文件夹: H:/pyvideotrans/tmp/16548/5c7d88d507
已选 清理已存在
未选 启用CUDA加速
未选 降噪
已选 识别说话人，最大说话人数量3
语音识别:Whisper.NET, model_name: ggml-large-v3-turbo.bin, 发音语言: 英语, 断句方式:默认断句
翻译渠道:微软(免费),原始语言:英语,目标语言:简体中文, 已选 发送完整字幕
配音渠道:Spark-TTS(本地API), 角色:clone, 配音语言:简体中文, 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,存在分离后的纯净人声文件,存在分离后的背景声音文件
代理地址: