code: def main():
      overrides = {
          "output_folder": output_folder,
          "data_folder": os.path.join(
              experiment_dir, "..", "..", "samples"
          ),
      }
      with open(hyperparams_file) as fin:
          hyperparams = load_hyperpyyaml(fin, overrides)
  
      sb.create_experiment_directory(
          experiment_directory=output_folder,
          hyperparams_to_save=hyperparams_file,
          overrides=overrides,
      )
  
      dataloader = sb.dataio.dataloader.make_dataloader(
          dataset=hyperparams["sample_data"],
          batch_size=hyperparams["batch_size"],
      )
      for (
          id,
          (wav, wav_len),
      ) in iter(dataloader):
          wav_noise = hyperparams["add_noise"](wav, wav_len)
          # save results on file
          for i, snt_id in enumerate(id):
              filepath = (
                  hyperparams["output_folder"]
                  + "/save/"
                  + snt_id
                  + ".flac"
              )
              write_audio(filepath, wav_noise[i], 16000)
  
imports: import os
  import speechbrain
  from hyperpyyaml import load_hyperpyyaml
  from speechbrain.dataio.dataio import read_audio, write_audio
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types