class_docstr: This class implements a model-specific automatic speech recognizer using the end-to-end speech recognizer in
  Espresso.
  
  | Paper link: https://arxiv.org/abs/1909.08723
class_docstr_tok: ["This","class","implements","a","model-specific","automatic","speech","recognizer","using","the","end-to-end","speech","recognizer","in","Espresso",".","|","Paper","link",":","https",":","\/\/arxiv.org\/abs\/1909.08723"]
code: def get_activations(
      self,
      x: np.ndarray,
      layer: Union[int, str],
      batch_size: int,
      framework: bool = False,
  ) -> np.ndarray:
      raise NotImplementedError
  
imports: import ast
  from argparse import Namespace
  import logging
  from typing import Dict, List, Optional, Tuple, TYPE_CHECKING, Union
  import numpy
  from art import config
  from art.estimators.pytorch import PyTorchEstimator
  from art.estimators.speech_recognition.speech_recognizer import SpeechRecognizerMixin, PytorchSpeechRecognizerMixin
  from art.utils import get_file
label_desc: Use image node_id 13 for calling the PyTorchEspresso obj's underlying member method code with example usage: obj.get_activations(x, layer, batch_size, framework) without return types