code: # Copyright (c) 2018 NVIDIA Corporation
  from __future__ import absolute_import, division, print_function
  from __future__ import unicode_literals
  
  import string
  import os
  import pandas as pd
  
  if __name__ == '__main__':
    synthetic_data_root = "/data/speech/librispeech-syn/"
    synthetic_data_sample = synthetic_data_root + "{{}}/sample_step0_{}_syn.wav"
  
    in_char = "\"'’“”àâèéêü"
    out_char = "'''''aaeeeu"
    punctuation = string.punctuation.replace("'", "")
    table = str.maketrans(in_char, out_char, punctuation)
  
    def _normalize_transcript(text):
      """Parses the transcript to remove punctation, lowercase all characters, and
         all non-ascii characters
  
      Args:
        text: the string to parse
  
      Returns:
        text: the normalized text
      """
      text = text.translate(table)
      text = text.lower()
      text = text.strip()
      return text
  
    names = ["wav_filename", "wav_filesize", "transcript"]
  
    generated_files = pd.read_csv(
        "generate.csv", encoding='utf-8', sep='\x7c',
        header=None, quoting=3, names=names)
    num_files = len(generated_files)
    for i, row in enumerate(generated_files.itertuples()):
      generated_files.iat[i, 0] = synthetic_data_sample.format(i)
      line = _normalize_transcript(generated_files.iat[i, 2])
      generated_files.iat[i, 1] = -1
      generated_files.iat[i, 2] = line
      if i % int(num_files/10) == 0:
        print("Processed {} out of {}".format(i, num_files))
    generated_files.to_csv(
        os.path.join(synthetic_data_root, "synthetic_data.csv"), encoding='utf-8',
        sep=',', quoting=3, index=False)
  
apis: pandas.read_csv