code: def __getitem__(self, item):
      wave, rate, label, speaker_id, ut_number = super().__getitem__(
          item
      )
      label = self.labels_names.index(label)
      wave = wave.squeeze(0)  # (T,)
      if self.mfcc_preprocessing is not None:
          assert rate == self.mfcc_preprocessing.sample_rate
          # (T, MFCC)
          wave = self.mfcc_preprocessing(wave).permute(1, 0)
      return wave, label, rate, speaker_id, ut_number
  
file_path: avalanche/avalanche/benchmarks/datasets/torchaudio_wrapper.py
imports: import os
  from avalanche.benchmarks.utils import _make_taskaware_classification_dataset
  from avalanche.benchmarks.datasets import default_dataset_location
  import torch
label_desc: Use image node_id 2 for calling the SpeechCommandsData obj's underlying member method code with example usage: obj.__getitem__(item) and returns: wave,  label,  rate,  speaker_id,  ut_number