code: def get_audio(path_to_wav, filename):
      wav = wave.open(os.path.join(path_to_wav, filename), mode="r")
      (
          nchannels,
          sampwidth,
          framerate,
          nframes,
          comptype,
          compname,
      ) = wav.getparams()
      assert framerate == 16000
      content = wav.readframes(nframes)
      samples = np.fromstring(content, dtype=np.int16)
      return (
          nchannels,
          sampwidth,
          framerate,
          nframes,
          comptype,
          compname,
      ), samples
  
file_path: delta/egs/iemocap/emo/v1/local/python/helper.py
imports: import os
  import csv
  import wave
  import sys
  import numpy
  import pandas
  import glob
  from tensorflow.keras.preprocessing.text import text_to_word_sequence
label_desc: Use image node_id 5 for calling a global function with example usage: get_audio(path_to_wav, filename) and returns: nchannels,  sampwidth,  framerate,  nframes,  comptype,  compname,  samples