def METHOD_NAME():
    parser = argparse.ArgumentParser(description='preprocess arguments for LibriSpeech dataset.')
    parser.add_argument('--data_path', default='./data/LibriSpeech', type=str, help='Path to raw LibriSpeech dataset')
    parser.add_argument('--output_path', default='./data/', type=str, help='Path to store output', required=False)
    parser.add_argument('--feature_type', default='mel', type=str, help='Feature type ( mfcc / fbank / mel / linear )', required=False)
    parser.add_argument('--delta', default=True, type=boolean_string, help='Append Delta', required=False)
    parser.add_argument('--delta_delta', default=False, type=boolean_string, help='Append Delta Delta', required=False)
    parser.add_argument('--apply_cmvn', default=True, type=boolean_string, help='Apply CMVN on feature', required=False)
    parser.add_argument('--n_jobs', default=-1, type=int, help='Number of jobs used for feature extraction', required=False)
    parser.add_argument('--name', default='None', type=str, help='Name of the output directory', required=False)
    args = parser.parse_args()
    return args