code: def _maybe_convert_wav(orig_filename, wav_filename):
      if not os.path.exists(wav_filename):
          transformer = sox.Transformer()
          transformer.convert(samplerate=SAMPLE_RATE)
          try:
              transformer.build(orig_filename, wav_filename)
          except sox.core.SoxError as ex:
              print(
                  "SoX processing error",
                  ex,
                  orig_filename,
                  wav_filename,
              )
  
file_path: DeepSpeech/bin/import_ts.py
imports: import csv
  import os
  import re
  import subprocess
  import zipfile
  from multiprocessing import Pool
  import progressbar
  import sox
  import unidecode
  from deepspeech_training.util.downloader import SIMPLE_BAR, maybe_download
  from deepspeech_training.util.importers import get_counter, get_imported_samples, get_importers_parser, get_validate_label, print_import_report
label_desc: Use image node_id 5 for calling a global function with example usage: _maybe_convert_wav(orig_filename, wav_filename) without return types