docstr: Regression of the activations for a voice signal
docstr_tok: ["Regression","of","the","activations","for","a","voice","signal"]
code: def testRegressionVoiceSignal(self):
      """Regression of the activations for a voice signal"""
  
      expected_file = join(
          filedir(),
          "tensorflowpredictfsdsinet",
          "vignesh_activations_fsd-sinet-vgg41-tlpf-ibp-1.npy",
      )
      expected = numpy.load(expected_file)
  
      audio_file = join(testdata.audio_dir, "recorded/vignesh.wav")
      audio = MonoLoader(filename=audio_file, sampleRate=self.sr)()
  
      segment = audio[: self.sr]
  
      model = join(
          testdata.models_dir,
          "fsd-sinet",
          "fsd-sinet-vgg41-tlpf-ibp-1.pb",
      )
      found = TensorflowPredictFSDSINet(graphFilename=model)(
          segment
      ).squeeze()
  
      self.assertAlmostEqualVector(found, expected, 1e-3)
  
imports: from essentia_test import *
label_desc: Use image node_id 2 for calling the TestTensorFlowPredictFSDSINet obj's underlying member method code with example usage: obj.testRegressionVoiceSignal() without return types