class_docstr: Test the TensorFlowLingvoASR estimator.
code: def test_predict(self, art_warning, audio_data):
      try:
          test_input = audio_data
  
          lingvo = TensorFlowLingvoASR()
          predictions = lingvo.predict(test_input, batch_size=2)
          assert predictions.shape == test_input.shape
          assert isinstance(predictions[0], np.str_)
      except ARTTestException as e:
          art_warning(e)
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_equal
  from scipy.io.wavfile import read
  from art.estimators.speech_recognition.speech_recognizer import SpeechRecognizerMixin
  from art.estimators.speech_recognition.tensorflow_lingvo import TensorFlowLingvoASR
  from art.estimators.tensorflow import TensorFlowV2Estimator
  from art.utils import get_file
  from tests.utils import ARTTestException
label_desc: Use image node_id 8 for calling the TestTensorFlowLingvoASR obj's underlying member method code with example usage: obj.test_predict(art_warning, audio_data) without return types