code: def compute_word_level_distance(seq1, seq2):
      return torchaudio.functional.edit_distance(
          seq1.lower().split(), seq2.lower().split()
      )
  
file_path: audio/examples/asr/emformer_rnnt/tedlium3/eval_pipeline.py
imports: import logging
  import pathlib
  from argparse import ArgumentParser, RawTextHelpFormatter
  import torch
  import torchaudio
  from torchaudio.prototype.pipelines import EMFORMER_RNNT_BASE_TEDLIUM3
label_desc: Use image node_id 1 for calling a global function with example usage: compute_word_level_distance(seq1, seq2) and returns: torchaudio