code: def __init__(self, phoneme_dict, heteronyms):
      self.g2p = EnglishG2p(
          phoneme_dict=phoneme_dict, heteronyms=heteronyms
      )
      self.tokenizer = EnglishPhonemesTokenizer(
          self.g2p,
          stresses=True,
          chars=True,
          pad_with_space=True,
          add_blank_at=True,
      )
      self.vocab_size = len(self.tokenizer.tokens)
  
file_path: NeMo/nemo/collections/common/tokenizers/text_to_speech/tokenizer_wrapper.py
imports: from nemo.collections.common.tokenizers import TokenizerSpec
  from nemo.collections.common.tokenizers.text_to_speech.tts_tokenizers import EnglishPhonemesTokenizer
  from nemo.collections.tts.g2p.models.en_us_arpabet import EnglishG2p
label_desc: Use image node_id 1 to create a new TextToSpeechTokenizer object from inherited base classes: TokenizerSpec with example: obj = TextToSpeechTokenizer(phoneme_dict, heteronyms)