code: def baker(
      root_path: str, meta_file: str, **kwargs
  ) -> List[List[str]]:  # pylint: disable=unused-argument
      """Normalizes the Baker meta data file to TTS format
  
      Args:
          root_path (str): path to the baker dataset
          meta_file (str): name of the meta dataset containing names of wav to select and the transcript of the sentence
      Returns:
          List[List[str]]: List of (text, wav_path, speaker_name) associated with each sentences
      """
      txt_file = os.path.join(root_path, meta_file)
      items = []
      speaker_name = "baker"
      with open(txt_file, "r", encoding="utf-8") as ttf:
          for line in ttf:
              wav_name, text = line.rstrip("\n").split("|")
              wav_path = os.path.join(root_path, "clips_22", wav_name)
              items.append(
                  {
                      "text": text,
                      "audio_file": wav_path,
                      "speaker_name": speaker_name,
                      "root_path": root_path,
                  }
              )
      return items
  
imports: import os
  import re
  import xml.etree.ElementTree
  from glob import glob
  from pathlib import Path
  from typing import List
  import pandas
  from tqdm import tqdm
label_desc: Use image node_id 27 for calling a global function with example usage: baker(root_path, meta_file) and returns: items