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babysor00
2023-02-04 17:00:49 +08:00
parent 9d67b757f0
commit beec0b93ed
2 changed files with 42 additions and 12 deletions
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16
utils/audio_utils.py
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@@ -68,20 +68,12 @@ def mel_spectrogram(
if torch.max(y) > 1.:
print('max value is ', torch.max(y))
# global mel_basis, hann_window
# if fmax not in mel_basis:
# mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
# mel_basis[str(fmax)+'_'+str(y.device)] = torch.from_numpy(mel).float().to(y.device)
# hann_window[str(y.device)] = torch.hann_window(win_size).to(y.device)
global mel_basis, hann_window
dtype_device = str(y.dtype) + '_' + str(y.device)
fmax_dtype_device = str(fmax) + '_' + dtype_device
wnsize_dtype_device = str(win_size) + '_' + dtype_device
if fmax_dtype_device not in mel_basis:
if fmax not in mel_basis:
mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to(dtype=y.dtype, device=y.device)
if wnsize_dtype_device not in hann_window:
hann_window[wnsize_dtype_device] = torch.hann_window(win_size).to(dtype=y.dtype, device=y.device)
mel_basis[str(fmax)+'_'+str(y.device)] = torch.from_numpy(mel).float().to(y.device)
hann_window[str(y.device)] = torch.hann_window(win_size).to(y.device)
y = torch.nn.functional.pad(y.unsqueeze(1), (int((n_fft-hop_size)/2), int((n_fft-hop_size)/2)), mode='reflect')
y = y.squeeze(1)