class_docstr: Text cleaner.
  
  Examples:
      >>> cleaner = TextCleaner("tacotron")
      >>> cleaner("(Hello-World);   &  jr. & dr.")
      'HELLO WORLD, AND JUNIOR AND DOCTOR'
code: def __call__(self, text: str) -> str:
      for t in self.cleaner_types:
          if t == "tacotron":
              text = tacotron_cleaner.cleaners.custom_english_cleaners(
                  text
              )
          elif t == "jaconv":
              text = jaconv.normalize(text)
          elif t == "vietnamese":
              if vietnamese_cleaners is None:
                  raise RuntimeError("Please install underthesea")
              text = vietnamese_cleaners.vietnamese_cleaner(text)
          elif t == "korean_cleaner":
              text = KoreanCleaner.normalize_text(text)
          elif "whisper" in t and self.whisper_cleaner is not None:
              text = self.whisper_cleaner(text)
          else:
              raise RuntimeError(f"Not supported: type={t}")
  
      return text
  
imports: from typing import Collection
  import tacotron_cleaner.cleaners
  from jaconv import jaconv
  from typeguard import check_argument_types
  from espnet2.text.korean_cleaner import KoreanCleaner
label_desc: Use image node_id 2 for calling the TextCleaner obj's underlying member method code with example usage: obj.__call__(text) and returns: text