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mel() error #550

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EricKong1985 opened this issue Aug 30, 2023 · 5 comments
Open

mel() error #550

EricKong1985 opened this issue Aug 30, 2023 · 5 comments

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@EricKong1985
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when I run the project in the colab,

i will show the error below:

Using cuda for inference.
Reading video frames...
Number of frames available for inference: 223
Traceback (most recent call last):
File "/content/Wav2Lip/inference.py", line 280, in
main()
File "/content/Wav2Lip/inference.py", line 225, in main
mel = audio.melspectrogram(wav)
File "/content/Wav2Lip/audio.py", line 47, in melspectrogram
S = _amp_to_db(_linear_to_mel(np.abs(D))) - hp.ref_level_db
File "/content/Wav2Lip/audio.py", line 95, in _linear_to_mel
_mel_basis = _build_mel_basis()
File "/content/Wav2Lip/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

@HassanMuhammadSannaullah

Don't know if it will helpful for you but I have created a repository that fixes the running for inference using the pretrained model. here is the link https://github.com/HassanMuhammadSannaullah/Wav2lip-Fix-For-Inference

@xugaoxiang
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pip install librosa == 0.8.0

@er1cw00
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er1cw00 commented Sep 11, 2023

when using librosa>=0.10.0, you should fix “_build_mel_basis()” in audio.py

def _build_mel_basis():
    assert hp.fmax <= hp.sample_rate // 2
    return librosa.filters.mel(sr=hp.sample_rate, n_fft=hp.n_fft, n_mels=hp.num_mels,
                               fmin=hp.fmin, fmax=hp.fmax)

@vimgaa
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vimgaa commented Dec 1, 2023

when using librosa>=0.10.0, you should fix “_build_mel_basis()” in audio.py

def _build_mel_basis():
    assert hp.fmax <= hp.sample_rate // 2
    return librosa.filters.mel(sr=hp.sample_rate, n_fft=hp.n_fft, n_mels=hp.num_mels,
                               fmin=hp.fmin, fmax=hp.fmax)

Thanks for sharing, this change works for me

@Aml-Hassan-Abd-El-hamid

when using librosa>=0.10.0, you should fix “_build_mel_basis()” in audio.py

def _build_mel_basis():
    assert hp.fmax <= hp.sample_rate // 2
    return librosa.filters.mel(sr=hp.sample_rate, n_fft=hp.n_fft, n_mels=hp.num_mels,
                               fmin=hp.fmin, fmax=hp.fmax)

You're a lifesaver! Thank you very much :)

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