code: def _is_wav_frame_valid(self, wav_frame, transcript):
      is_wav_frame_valid = True
      if int(wav_frame / SAMPLE_RATE * 1000 / 10 / 2) < len(
          str(transcript)
      ):
          is_wav_frame_valid = False
      elif wav_frame / SAMPLE_RATE > MAX_SECS:
          is_wav_frame_valid = False
      return is_wav_frame_valid
  
imports: import csv
  import logging
  import math
  import os
  import subprocess
  import urllib
  from pathlib import Path
  import pandas
  from sox import Transformer
  import swifter
  from deepspeech_training.util.importers import get_importers_parser, get_validate_label
label_desc: Use image node_id 8 for calling the GramVaaniDataSets obj's underlying member method code with example usage: obj._is_wav_frame_valid(wav_frame, transcript) and returns: is_wav_frame_valid