code: def _get_speaker():
      # List of test speakers
      test_spk = [
          "fdhc0",
          "felc0",
          "fjlm0",
          "fmgd0",
          "fmld0",
          "fnlp0",
          "fpas0",
          "fpkt0",
          "mbpm0",
          "mcmj0",
          "mdab0",
          "mgrt0",
          "mjdh0",
          "mjln0",
          "mjmp0",
          "mklt0",
          "mlll0",
          "mlnt0",
          "mnjm0",
          "mpam0",
          "mtas1",
          "mtls0",
          "mwbt0",
          "mwew0",
      ]
  
      # List of dev speakers
      dev_spk = [
          "fadg0",
          "faks0",
          "fcal1",
          "fcmh0",
          "fdac1",
          "fdms0",
          "fdrw0",
          "fedw0",
          "fgjd0",
          "fjem0",
          "fjmg0",
          "fjsj0",
          "fkms0",
          "fmah0",
          "fmml0",
          "fnmr0",
          "frew0",
          "fsem0",
          "majc0",
          "mbdg0",
          "mbns0",
          "mbwm0",
          "mcsh0",
          "mdlf0",
          "mdls0",
          "mdvc0",
          "mers0",
          "mgjf0",
          "mglb0",
          "mgwt0",
          "mjar0",
          "mjfc0",
          "mjsw0",
          "mmdb1",
          "mmdm2",
          "mmjr0",
          "mmwh0",
          "mpdf0",
          "mrcs0",
          "mreb0",
          "mrjm4",
          "mrjr0",
          "mroa0",
          "mrtk0",
          "mrws1",
          "mtaa0",
          "mtdt0",
          "mteb0",
          "mthc0",
          "mwjg0",
      ]
  
      return dev_spk, test_spk
  
file_path: speechbrain/recipes/TIMIT/ASR/CTC/timit_prepare.py
imports: import os
  import json
  import logging
  from speechbrain.utils.data_utils import get_all_files
  from speechbrain.dataio.dataio import read_audio
label_desc: Use image node_id 3 for calling a global function with example usage: _get_speaker() and returns: dev_spk,  test_spk