code: def normalize_uroman(text):
      text = text.lower()
      text = re.sub("([^a-z' ])", " ", text)
      text = re.sub(" +", " ", text)
      return text.strip()
  
file_path: fairseq/examples/mms/data_prep/align_utils.py
imports: import re
  import os
  import torch
  import tempfile
  import math
  from dataclasses import dataclass
  from torchaudio.models import wav2vec2_model
label_desc: Use image node_id 1 for calling a global function with example usage: normalize_uroman(text) and returns: text