code: def compute_word_level_distance(seq1, seq2):
      return torchaudio.functional.edit_distance(
          seq1.lower().split(), seq2.lower().split()
      )
  
file_path: audio/examples/avsr/eval.py
imports: import logging
  from argparse import ArgumentParser
  import sentencepiece
  import torch
  import torchaudio
  from transforms import get_data_module
label_desc: Use image node_id 1 for calling a global function with example usage: compute_word_level_distance(seq1, seq2) and returns: torchaudio