code: def convert_index_to_lab(batch, ind2lab):
      """Convert a batch of integer IDs to string labels.
  
      Arguments
      ---------
      batch : list
          List of lists, a batch of sequences.
      ind2lab : dict
          Mapping from integer IDs to labels.
  
      Returns
      -------
      list
          List of lists, same size as batch, with labels from ind2lab.
  
      Example
      -------
      >>> ind2lab = {1: "h", 2: "e", 3: "l", 4: "o"}
      >>> out = convert_index_to_lab([[4,1], [1,2,3,3,4]], ind2lab)
      >>> for seq in out:
      ...     print("".join(seq))
      oh
      hello
      """
      return [[ind2lab[int(index)] for index in seq] for seq in batch]
  
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 12 for calling a global function with example usage: convert_index_to_lab(batch, ind2lab) and returns: unknown