我正在尝试语音识别模块的一些转录方法，我可以使用Google API（recognize_google()）进行转录，但当我尝试使用OpenAPI的Whisper（recognize_whisper()）时，会创建一个临时文件“%LocalAppData%\Temp\tmps_pfkh0z.wav”（实际文件名每次都会略有变化），脚本失败并显示“permission denied”错误：

Traceback (most recent call last):
  File "D:\Users\Renato\Documents\Code\projects\transcriber\.venv\lib\site-packages\whisper\audio.py", line 42, in load_audio
    ffmpeg.input(file, threads=0)
  File "D:\Users\Renato\Documents\Code\projects\transcriber\.venv\lib\site-packages\ffmpeg\_run.py", line 325, in run
    raise Error('ffmpeg', out, err)
ffmpeg._run.Error: ffmpeg error (see stderr output for detail)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "d:\Users\Renato\Documents\Code\projects\transcriber\main.py", line 15, in <module>
    print("Transcription: " + r.recognize_whisper(audio_data=audio_data, model="medium", language="uk"))
  File "D:\Users\Renato\Documents\Code\projects\transcriber\.venv\lib\site-packages\speech_recognition\__init__.py", line 1697, in recognize_whisper
    result = self.whisper_model[model].transcribe(
  File "D:\Users\Renato\Documents\Code\projects\transcriber\.venv\lib\site-packages\whisper\transcribe.py", line 85, in transcribe
    mel = log_mel_spectrogram(audio)
  File "D:\Users\Renato\Documents\Code\projects\transcriber\.venv\lib\site-packages\whisper\audio.py", line 111, in log_mel_spectrogram
    audio = load_audio(audio)
  File "D:\Users\Renato\Documents\Code\projects\transcriber\.venv\lib\site-packages\whisper\audio.py", line 47, in load_audio
  libavdevice    59.  7.100 / 59.  7.100
  libavfilter     8. 44.100 /  8. 44.100
  libswscale      6.  7.100 /  6.  7.100
  libswresample   4.  7.100 /  4.  7.100  libpostproc    56.  6.100 / 56.  6.100C:\Users\Renato\AppData\Local\Temp\tmps_pfkh0z.wav: Permission denied

代码本身非常简单：

import speech_recognition as sr

r = sr.Recognizer()
with sr.AudioFile("audio.wav") as src:
    audio_data = r.record(src)
    print("Transcription: " + r.recognize_whisper(audio_data=audio_data, model="medium", language="en"))

我尝试了不同的ffmpeg安装（gyan.dev和BtbN预构建包，我还尝试了通过chocolatey安装）。
我还尝试取消选中Temp文件夹属性上的“只读”选项，但错误仍然发生。
我在一台Windows机器上用venv创建的虚拟环境中运行该脚本。