code: def _split_audio(origAudio, start_time, stop_time):
      audioData, frameRate = origAudio
      nChannels = len(audioData.shape)
      startIndex = int(start_time * frameRate)
      stopIndex = int(stop_time * frameRate)
      return (
          audioData[startIndex:stopIndex]
          if 1 == nChannels
          else audioData[:, startIndex:stopIndex]
      )
  
file_path: DeepSpeech/bin/import_fisher.py
imports: import codecs
  import fnmatch
  import os
  import random
  import subprocess
  import sys
  import unicodedata
  import librosa
  import pandas
  import soundfile
  from deepspeech_training.util.importers import validate_label_eng
label_desc: Use image node_id 5 for calling a global function with example usage: _split_audio(origAudio, start_time, stop_time) and returns: unknown