code: def write_csv(filelist, csv_file, max_length=None):
      """
      Iterate through a list of audio files and write the corresponding CSV file.
  
      Arguments
      ---------
      filelist: list of str
          A list containing the paths of audio files of interest.
      csv_file: str
          The path where to store the prepared noise CSV file.
      max_lengthL float (optional):
          The maximum recording length in seconds.
          Recordings longer than this will be automatically cut into pieces.
      """
      with open(csv_file, "w") as w:
          w.write("ID,duration,wav,wav_format,wav_opts\n")
          for i, filename in enumerate(filelist):
              _write_csv_row(w, filename, i, max_length)
  
file_path: speechbrain/speechbrain/augment/preparation.py
imports: import os
  import logging
  import torchaudio
  from speechbrain.utils.data_utils import download_file
  from speechbrain.utils.data_utils import get_all_files
label_desc: Use image node_id 3 for calling a global function with example usage: write_csv(filelist, csv_file, max_length) without return types