refactor(dataset): get audio length with torchaudio

Removes a (GPL) dependency

TTS/tts/datasets/dataset.py

@@ -4,9 +4,9 @@
 import random
 from typing import Dict, List, Union
 
-import mutagen
 import numpy as np
 import torch
+import torchaudio
 import tqdm
 from torch.utils.data import Dataset
 
@@ -43,15 +43,15 @@ def string2filename(string):
     return filename
 
 
-def get_audio_size(audiopath):
+def get_audio_size(audiopath) -> int:
+    """Return the number of samples in the audio file."""
     extension = audiopath.rpartition(".")[-1].lower()
     if extension not in {"mp3", "wav", "flac"}:
         raise RuntimeError(
             f"The audio format {extension} is not supported, please convert the audio files to mp3, flac, or wav format!"
         )
 
-    audio_info = mutagen.File(audiopath).info
-    return int(audio_info.length * audio_info.sample_rate)
+    return torchaudio.info(audiopath).num_frames
 
 
 class TTSDataset(Dataset):

requirements.txt

@@ -12,7 +12,6 @@ anyascii>=0.3.0
 pyyaml>=6.0
 fsspec[http]>=2023.6.0 # <= 2023.9.1 makes aux tests fail
 packaging>=23.1
-mutagen==1.47.0
 # deps for inference
 pysbd>=0.3.4
 # deps for notebooks