sound normalization while reading, adapting get_Speaker for multiple datasets

utils/audio.py

@@ -24,6 +24,7 @@ class AudioProcessor(object):
                  clip_norm=True,
                  griffin_lim_iters=None,
                  do_trim_silence=False,
+                 sound_norm=False,
                  **_):
 
         print(" > Setting up Audio Processor...")
@@ -45,6 +46,7 @@ class AudioProcessor(object):
         self.max_norm = 1.0 if max_norm is None else float(max_norm)
         self.clip_norm = clip_norm
         self.do_trim_silence = do_trim_silence
+        self.sound_norm = sound_norm
         self.n_fft, self.hop_length, self.win_length = self._stft_parameters()
         members = vars(self)
         for key, value in members.items():
@@ -243,6 +245,8 @@ class AudioProcessor(object):
             except ValueError:
                 print(f' [!] File cannot be trimmed for silence - {filename}')
         assert self.sample_rate == sr, "%s vs %s"%(self.sample_rate, sr)
+        if self.sound_norm:
+            x = x / x.max() * 0.9
         return x
 
     @staticmethod