code: def load_utterInfo(inputFile):
      """
      Load utterInfo from original IEMOCAP database
      """
  
      # this regx allow to create a list with:
      # [START_TIME - END_TIME] TURN_NAME EMOTION [V, A, D]
      # [V, A, D] means [Valence, Arousal, Dominance]
      pattern = re.compile(
          "[\[]*[0-9]*[.][0-9]*[ -]*[0-9]*[.][0-9]*[\]][\t][a-z0-9_]*[\t][a-z]{3}[\t][\[][0-9]*[.][0-9]*[, ]+[0-9]*[.][0-9]*[, ]+[0-9]*[.][0-9]*[\]]",
          re.IGNORECASE,
      )  # noqa
      with open(inputFile, "r") as myfile:
          data = myfile.read().replace("\n", " ")
      result = pattern.findall(data)
      out = []
      for i in result:
          a = i.replace("[", "")
          b = a.replace(" - ", "\t")
          c = b.replace("]", "")
          x = c.replace(", ", "\t")
          out.append(x.split("\t"))
      return out
  
file_path: speechbrain/recipes/IEMOCAP/emotion_recognition/iemocap_prepare.py
imports: import os
  import re
  import json
  import random
  import logging
  from speechbrain.dataio.dataio import read_audio
label_desc: Use image node_id 7 for calling a global function with example usage: load_utterInfo(inputFile) and returns: out