code: def load_txts(directory):
      utterences = dict()
      directory = os.path.expanduser(directory)
      for target in sorted(os.listdir(directory)):
          d = os.path.join(directory, target)
          if not os.path.isdir(d):
              continue
  
          for root, _, fnames in sorted(os.walk(d)):
              for fname in fnames:
                  if fname.endswith(".txt"):
                      with open(os.path.join(root, fname), "r") as f:
                          fname_no_ext = os.path.basename(fname).rsplit(
                              ".", 1
                          )[0]
                          utterences[fname_no_ext] = f.readline()
      return utterences
  
file_path: DeepSpeech/bin/import_vctk.py
imports: import os
  import random
  import re
  from multiprocessing import Pool
  from zipfile import ZipFile
  import librosa
  import progressbar
  from deepspeech_training.util.downloader import SIMPLE_BAR, maybe_download
  from deepspeech_training.util.importers import get_counter, get_imported_samples, print_import_report
label_desc: Use image node_id 8 for calling a global function with example usage: load_txts(directory) and returns: utterences