code: def check_wav_file(
      wav_path, sentence
  ):  # pylint: disable=too-many-return-statements
      try:
          with wave.open(wav_path, "r") as src_wav_file:
              rate = src_wav_file.getframerate()
              channels = src_wav_file.getnchannels()
              sample_width = src_wav_file.getsampwidth()
              milliseconds = int(
                  src_wav_file.getnframes() * 1000 / rate
              )
          if rate != SAMPLE_RATE:
              return False, "wrong sample rate"
          if channels != CHANNELS:
              return False, "wrong number of channels"
          if sample_width != SAMPLE_WIDTH:
              return False, "wrong sample width"
          if milliseconds / len(sentence) < 30:
              return False, "too short"
          if milliseconds > CLI_ARGS.max_duration > 0:
              return False, "too long"
      except wave.Error:
          return False, "invalid wav file"
      except EOFError:
          return False, "premature EOF"
      return True, "OK"
  
file_path: DeepSpeech/bin/import_tuda.py
imports: import argparse
  import csv
  import os
  import tarfile
  import unicodedata
  import wave
  import xml.etree.ElementTree
  from collections import Counter
  import progressbar
  from deepspeech_training.util.downloader import SIMPLE_BAR, maybe_download
  from deepspeech_training.util.importers import validate_label_eng
  from ds_ctcdecoder import Alphabet
label_desc: Use image node_id 4 for calling a global function with example usage: check_wav_file(wav_path, sentence) and returns: True,  str, False,  str, False,  str, False,  str, False,  str, False,  str, False,  str, False,  str