code: def normalize_text(text):
      return re.sub(r"[^a-zA-Z.?!,'\- ]", "", text)
  
file_path: fairseq/examples/speech_synthesis/preprocessing/get_vctk_audio_manifest.py
imports: import argparse
  import logging
  import numpy
  import re
  from pathlib import Path
  from collections import defaultdict
  import pandas
  from torchaudio.datasets import VCTK
  from tqdm import tqdm
  from examples.speech_to_text.data_utils import save_df_to_tsv
label_desc: Use image node_id 1 for calling a global function with example usage: normalize_text(text) and returns: re