code: def _clean_text(text, cleaner_names):
      """apply different cleaning pipeline according to cleaner_names"""
      for name in cleaner_names:
          if name == "english_cleaners":
              cleaner = english_cleaners
          if name == "transliteration_cleaners":
              cleaner = transliteration_cleaners
          if name == "basic_cleaners":
              cleaner = basic_cleaners
          if name == "german_cleaners":
              cleaner = german_cleaners
          if not cleaner:
              raise Exception("Unknown cleaner: %s" % name)
          text = cleaner(text)
      return text
  
file_path: speechbrain/speechbrain/utils/text_to_sequence.py
imports: import re
  import logging
label_desc: Use image node_id 11 for calling a global function with example usage: _clean_text(text, cleaner_names) and returns: text