def METHOD_NAME(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)