How to use the asrtoolkit.file_utils.name_cleaners.sanitize function in asrtoolkit

def extract_xlsx(filename, target_folder):
    """
    For an excel spreadsheet, extract to a text file
    """
    working_excel_data_structure = pd.ExcelFile(filename)
    raw_name = sanitize(strip_extension(basename(filename)))

    with open("".join([target_folder, "/", raw_name, ".txt"]),
              "a+") as output_file:
        for sheet in working_excel_data_structure.sheet_names:
            dump_sheet(output_file,
                       working_excel_data_structure.parse(sheet).values)

CLI for forced alignment tools
    Using a reference txt file and a hypothesis gk json 
        file, this time-aligns the reference txt file 
        and outputs an STM file
    Input
      ref_txt, str - reference text file containing ground truth
      json_file, str - hypothesis gk JSON file
      filename, str - output STM filename
    """

    ref_tokens = preprocess_txt.parse_transcript(ref_txt)
    gk_json = preprocess_gk_json.preprocess_transcript(json_file)
    segments = align(gk_json, ref_tokens)

    if filename is None:
        filename = basename(sanitize(strip_extension(ref_txt))) + ".stm"

    # fix segment filename and speaker
    for seg in segments:
        seg.filename = strip_extension(filename)
        seg.speaker = strip_extension(filename) + "UnknownSpeaker"

    output = time_aligned_text()
    output.segments = segments
    output.write(filename)