code: def remove_tone(text):
      """
      Used for tone-less evaluation of Hokkien
      """
      return " ".join([t[:-1] for t in text.split()])
  
file_path: fairseq/examples/speech_to_speech/asr_bleu/compute_asr_bleu.py
imports: import os
  from typing import Dict, List
  import sacrebleu
  import pandas
  from glob import glob
  from pathlib import Path
  from utils import retrieve_asr_config, ASRGenerator
  from tqdm import tqdm
  from argparse import ArgumentParser
label_desc: Use image node_id 2 for calling a global function with example usage: remove_tone(text) and returns: str