code: def __call__(
      self, texts: Union[str, List[str]]
  ) -> Tuple[Tensor, Tensor]:
      if isinstance(texts, str):
          texts = [texts]
  
      indices = []
      for phones in self._phonemizer(texts, lang="en_us"):
          # '[F][UW][B][AA][R]!' -> ['F', 'UW', 'B', 'AA', 'R', '!']
          ret = [
              re.sub(r"[\[\]]", "", r)
              for r in re.findall(self._pattern, phones)
          ]
          indices.append([self._mapping[p] for p in ret])
      return utils._to_tensor(indices)
  
imports: import re
  from dataclasses import dataclass
  from typing import Any, Dict, List, Optional, Tuple, Union
  import torch
  from torch import Tensor
  from torchaudio._internal import load_state_dict_from_url
  from torchaudio.functional import mu_law_decoding
  from torchaudio.models import Tacotron2, WaveRNN
  from torchaudio.transforms import GriffinLim, InverseMelScale
  from .None import utils
  from .interface import Tacotron2TTSBundle
label_desc: Use image node_id 3 for calling the _EnglishPhoneProcessor obj's underlying member method code with example usage: obj.__call__(texts) and returns: utils