code: def prepare_commonlanguage(folder, csv_file, max_noise_len=None):
      """Prepare the CommonLanguage dataset for VAD training.
  
      Arguments
      ---------
      folder : str
          The location of the folder containing the dataset.
      csv_file : str
          Filename for storing the prepared csv file.
      max_noise_len : float
          The maximum noise length in seconds. Noises longer
          than this will be cut into pieces.
      """
      logger.info("CommonLanguage Preparation...")
      wav_lst = get_all_files(os.path.join(folder), match_and=[".wav"])
      if not os.path.isfile(csv_file):
          logger.info(csv_file + " creation...")
          _prepare_csv(folder, wav_lst, csv_file, max_noise_len)
  
imports: import os
  import logging
  import torchaudio
  import speechbrain
  from speechbrain.utils.data_utils import get_all_files
label_desc: Use image node_id 1 for calling a global function with example usage: prepare_commonlanguage(folder, csv_file, max_noise_len) without return types