code: def align_data(self, wav_dir, text_file, output_dir):
      if not os.path.exists(output_dir):
          os.makedirs(output_dir)
  
      # load text file
      lines = open(text_file, encoding="utf8").readlines()
  
      items = []
      for line in lines:
          if len(line.strip().split("\t")) != 2:
              print(
                  "Script must be in format: 00001  this is my sentence"
              )
              exit()
  
          wav_name, sentence = line.strip().split("\t")
          wav_path = os.path.join(wav_dir, wav_name + ".wav")
          out_path = os.path.join(output_dir, wav_name + ".txt")
  
          items.append(
              {
                  "sent": sentence,
                  "wav_path": wav_path,
                  "out_path": out_path,
              }
          )
      print("Number of samples found in script file", len(items))
  
      for item in tqdm(items):
          self.align_single_sample(item)
  
file_path: transformers/examples/research_projects/wav2vec2/alignment.py
imports: import argparse
  import os
  from dataclasses import dataclass
  import torch
  import torchaudio
  from tqdm import tqdm
  from transformers import AutoConfig, AutoModelForCTC, AutoProcessor
label_desc: Use image node_id 4 for calling the Wav2Vec2Aligner obj's underlying member method code with example usage: obj.align_data(wav_dir, text_file, output_dir) without return types