FRN / utils /stft.py
vietanhnami
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import torch
import torch.nn as nn
class STFTMag(nn.Module):
def __init__(self,
nfft=1024,
hop=256):
super().__init__()
self.nfft = nfft
self.hop = hop
self.register_buffer('window', torch.hann_window(nfft), False)
# x: [B,T] or [T]
@torch.no_grad()
def forward(self, x):
stft = torch.stft(x.cpu(),
self.nfft,
self.hop,
window=self.window,
) # return_complex=False) #[B, F, TT,2]
mag = torch.norm(stft, p=2, dim=-1) # [B, F, TT]
return mag