code: def read_kaldi_lab(kaldi_ali, kaldi_lab_opts):
      """Read labels in kaldi format.
  
      Uses kaldi IO.
  
      Arguments
      ---------
      kaldi_ali : str
          Path to directory where kaldi alignments are stored.
      kaldi_lab_opts : str
          A string that contains the options for reading the kaldi alignments.
  
      Returns
      -------
      lab : dict
          A dictionary containing the labels.
  
      Note
      ----
      This depends on kaldi-io-for-python. Install it separately.
      See: https://github.com/vesis84/kaldi-io-for-python
  
      Example
      -------
      This example requires kaldi files.
      ```
      lab_folder = '/home/kaldi/egs/TIMIT/s5/exp/dnn4_pretrain-dbn_dnn_ali'
      read_kaldi_lab(lab_folder, 'ali-to-pdf')
      ```
      """
      # EXTRA TOOLS
      try:
          import kaldi_io
      except ImportError:
          raise ImportError(
              "Could not import kaldi_io. Install it to use this."
          )
      # Reading the Kaldi labels
      lab = {
          k: v
          for k, v in kaldi_io.read_vec_int_ark(
              "gunzip -c "
              + kaldi_ali
              + "/ali*.gz | "
              + kaldi_lab_opts
              + " "
              + kaldi_ali
              + "/final.mdl ark:- ark:-|"
          )
      }
      return lab
  
imports: import os
  import torch
  import logging
  import numpy
  import pickle
  import hashlib
  import csv
  import time
  import torchaudio
  import json
  import re
  from speechbrain.utils.torch_audio_backend import check_torchaudio_backend
label_desc: Use image node_id 17 for calling a global function with example usage: read_kaldi_lab(kaldi_ali, kaldi_lab_opts) and returns: lab