bumpup librosa version to 0.8.0

TTS/bin/resample.py

@@ -6,13 +6,14 @@ from distutils.dir_util import copy_tree
 from multiprocessing import Pool
 
 import librosa
+import soundfile as sf
 from tqdm import tqdm
 
 
 def resample_file(func_args):
     filename, output_sr = func_args
     y, sr = librosa.load(filename, sr=output_sr)
-    librosa.output.write_wav(filename, y, sr)
+    sf.write(filename, y, sr)
 
 
 if __name__ == "__main__":

TTS/utils/audio.py

@@ -275,7 +275,7 @@ class AudioProcessor(object):
         else:
             D = self._stft(y)
         S = self._amp_to_db(np.abs(D))
-        return self.normalize(S)
+        return self.normalize(S).astype(np.float32)
 
     def melspectrogram(self, y):
         if self.preemphasis != 0:
@@ -283,7 +283,7 @@ class AudioProcessor(object):
         else:
             D = self._stft(y)
         S = self._amp_to_db(self._linear_to_mel(np.abs(D)))
-        return self.normalize(S)
+        return self.normalize(S).astype(np.float32)
 
     def inv_spectrogram(self, spectrogram):
         """Converts spectrogram to waveform using librosa"""

requirements.notebooks.txt

@@ -1,2 +1 @@
 bokeh==1.4.0
-numba==0.48

requirements.txt

@@ -3,7 +3,7 @@ flask
 gdown
 inflect
 jieba
-librosa==0.7.2
+librosa==0.8.0
 matplotlib
 numpy==1.18.5
 pandas