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12 changes: 5 additions & 7 deletions redimnet/layers/features_tf.py
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,6 @@
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
from scipy.signal import windows

def hz2mel(hz):
"""Convert a value in Hertz to Mels
Expand Down Expand Up @@ -151,22 +150,21 @@ def __init__(self,
fft_mode = 'abs'
self.fft_mode = fft_mode
self.log_mels = log_mels
self.kwargs = kwargs
self.build()

def build(self):
assert self.nfft >= self.length

if self.window:
if self.window == 'hamming':
self.window = windows.hamming(self.length)
self.window = np.hamming(self.length)
elif self.window in ['hann', 'hanning']:
self.window = np.array([0.5 - 0.5 * (np.cos((2 * np.pi * l) / (self.length - 1) )) \
for l in range(self.length)])
self.window = np.hanning(self.length)
elif self.window == 'sqrt_hann':
self.window = np.array([0.5 - 0.5 * (np.cos((2 * np.pi * l) / (self.length - 1) )) \
for l in range(self.length)]) ** 0.5
self.window = np.sqrt(np.hanning(self.length))
elif self.window == 'kaiser':
self.window = windows.kaiser(self.length)
self.window = np.kaiser(self.length, self.kwargs.get('kaiser_beta', 5))
else:
self.window = np.ones(self.length)
self.window = self.window.astype("float32")
Expand Down