4th

preprocess.py

@@ -12,7 +12,7 @@ import random
 
 import noisereduce as nr
 import librosa
-import IPython.display as ipd
+
 
 import scipy
 
@@ -69,11 +69,6 @@ class NoiseRemover:
         self._denoised_signal = torch.tensor(denoised).unsqueeze(0)
         return self._denoised_signal,sr
         
-    def comparision(self):
-        return ipd.Audio(self._signal, rate = self._sr),ipd.Audio(self._denoised_signal, rate = self._sr)
-    
-    
-    import torch.nn.functional as F
 
 class TruncateOrPad:
     """Dynamically truncates or pads depending on the signal"""