code: def get_transcriptions(path_to_transcriptions, filename):
      f = open(
          os.path.join(path_to_transcriptions, filename), "r"
      ).read()
      f = np.array(f.split("\n"))
      transcription = {}
      for i in range(len(f) - 1):
          g = f[i]
          i1 = g.find(": ")
          i0 = g.find(" [")
          ind_id = g[:i0]
          ind_ts = g[i1 + 2 :]
          transcription[ind_id] = ind_ts
      return transcription
  
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 6 for calling a global function with example usage: get_transcriptions(path_to_transcriptions, filename) and returns: transcription