code: def __normalize(utt):
      replace_table = str.maketrans(dict.fromkeys('()*;:"!&{},.-?'))
      utt = (
          utt.lower()
          .replace("[uh]", "uh")
          .replace("[um]", "um")
          .replace("<noise>", "[noise]")
          .replace("<spoken_noise>", "[vocalized-noise]")
          .replace(".period", "period")
          .replace(".dot", "dot")
          .replace("-hyphen", "hyphen")
          .replace("._", " ")
          .translate(replace_table)
      )
      utt = re.sub(r"'([a-z]+)'", r"\1", utt)  # Unquote quoted words
      return utt
  
file_path: NeMo/scripts/dataset_processing/process_fisher_data.py
imports: import argparse
  import glob
  import json
  import os
  import re
  from math import ceil, floor
  import numpy
  import scipy.io.wavfile
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling a global function with example usage: __normalize(utt) and returns: utt