用预模型请解决下报错

[bluesfeng-feng]

Number of frames available for inference: 373
Traceback (most recent call last):
File "inference.py", line 280, in
main()
File "inference.py", line 225, in main
mel = audio.melspectrogram(wav)
File "/root/W字幕君交流场所Lip/audio.py", line 47, in melspectrogram
S = _amp_to_db(_linear_to_mel(np.abs(D))) - hp.ref_level_db
File "/root/W字幕君交流场所Lip/audio.py", line 95, in _linear_to_mel
_mel_basis = _build_mel_basis()
File "/root/W字幕君交流场所Lip/audio.py", line 100, in _build_mel_basis
return librosa.filters.mel(hp.sample_rate, hp.n_fft, n_mels=hp.num_mels,
TypeError: mel() takes 0 positional arguments but 2 positional arguments (and 3 keyword-only arguments) were given

[Smit-VI]

https://www.youtube.com/watch?v=P4PXI4Cx3hc&t=153s follow this video

[Leungsiuyin]

把根目录下audio.py 第 100行改成 : return librosa.filters.mel(sr=hp.sample_rate, n_fft=hp.n_fft, n_mels=hp.num_mels, fmin=hp.fmin, fmax=hp.fmax)