OPENGIT/Retrieval-based-Voice-Conversion-WebUI
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Ναρουσέ·μ·γιουμεμί·Χινακάννα 2023-04-24 19:36:02 +08:00 committed by GitHub
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train/mel_processing.py
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@ -98,7 +98,9 @@ def spec_to_mel_torch(spec, n_fft, num_mels, sampling_rate, fmin, fmax):
dtype_device = str(spec.dtype) + "_" + str(spec.device) dtype_device = str(spec.dtype) + "_" + str(spec.device)
fmax_dtype_device = str(fmax) + "_" + dtype_device fmax_dtype_device = str(fmax) + "_" + dtype_device
if fmax_dtype_device not in mel_basis: if fmax_dtype_device not in mel_basis:
mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax) mel = librosa_mel_fn(
sr=sampling_rate, n_fft=n_fft, n_mels=num_mels, fmin=fmin, fmax=fmax
)
mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to( mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to(
dtype=spec.dtype, device=spec.device dtype=spec.dtype, device=spec.device
) )