code: def audio_process(
      self, waveform, sample_rate, target_sample_rate=16000
  ):
      if sample_rate != target_sample_rate:
          waveform = torchaudio.functional.resample(
              waveform, sample_rate, target_sample_rate
          )
      waveform = torch.mean(waveform, dim=0, keepdim=True)
      return waveform
  
file_path: audio/examples/avsr/data_prep/data/data_module.py
imports: import torch
  import torchaudio
  import torchvision
label_desc: Use image node_id 5 for calling the AVSRDataLoader obj's underlying member method code with example usage: obj.audio_process(waveform, sample_rate, target_sample_rate) and returns: waveform