code: def _maybe_convert_wav(ogg_filename, wav_filename):
      if not os.path.exists(wav_filename):
          transformer = sox.Transformer()
          transformer.convert(
              samplerate=SAMPLE_RATE,
              n_channels=N_CHANNELS,
              bitdepth=BITDEPTH,
          )
          try:
              transformer.build(ogg_filename, wav_filename)
          except sox.core.SoxError as ex:
              print(
                  "SoX processing error", ex, ogg_filename, wav_filename
              )
  
file_path: DeepSpeech/bin/import_lingua_libre.py
imports: import argparse
  import csv
  import os
  import re
  import subprocess
  import unicodedata
  import zipfile
  from glob import glob
  from multiprocessing import Pool
  import progressbar
  import sox
  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
  from ds_ctcdecoder import Alphabet
label_desc: Use image node_id 5 for calling a global function with example usage: _maybe_convert_wav(ogg_filename, wav_filename) without return types