Audio Dataset

audio_toolset/mel_transforms.py

@@ -8,6 +8,9 @@ class Normalize(object):
     def __init__(self, min_db_level: Union[int, float]):
         self.min_db_level = min_db_level
 
+    def __repr__(self):
+        return f'{self.__class__.__name__}({self.__dict__})'
+
     def __call__(self, s: np.ndarray) -> np.ndarray:
         return np.clip((s - self.min_db_level) / -self.min_db_level, 0, 1)
 
@@ -17,5 +20,8 @@ class DeNormalize(object):
     def __init__(self, min_db_level: Union[int, float]):
         self.min_db_level = min_db_level
 
+    def __repr__(self):
+        return f'{self.__class__.__name__}({self.__dict__})'
+
     def __call__(self, s: np.ndarray) -> np.ndarray:
         return (np.clip(s, 0, 1) * -self.min_db_level) + self.min_db_level