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Running on Zero
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8d6ad36 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | from __future__ import annotations
import torch
import torchaudio
class TorchMel(torch.nn.Module):
def __init__(self,
n_fft=640,
n_mel_channels=64,
target_sample_rate=16000,
hop_length=160,
win_length=640):
super().__init__()
self.mel_stft = torchaudio.transforms.MelSpectrogram(
sample_rate=target_sample_rate,
n_fft=n_fft,
win_length=win_length,
hop_length=hop_length,
n_mels=n_mel_channels,
power=1,
center=True,
normalized=False,
norm=None,
)
def forward(self, waveform):
if len(waveform.shape) == 3:
waveform = waveform.squeeze(1) # 'b 1 nw -> b nw'
assert len(waveform.shape) == 2
mel = self.mel_stft(waveform)
mel = mel.clamp(min=1e-5).log()
return mel[:,:,:-1].transpose(1,2)
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