def METHOD_NAME(self):
    if not os.path.exists(TEMP_SAVE_DIR):
        os.makedirs(TEMP_SAVE_DIR, exist_ok=True)
    testdata_ftp_address = OPENDR_SERVER_URL + "perception/speech_recognition/off.wav"
    testdata_filename = os.path.join(TEMP_SAVE_DIR, "off.wav")
    try:
        urlretrieve(testdata_ftp_address, testdata_filename)
    except Exception:
        print("Could down download test data file")
        raise
    self.learner.download_pretrained(TEMP_SAVE_DIR)
    model_directory = os.path.join(TEMP_SAVE_DIR, "MatchboxNet")
    self.learner.load(model_directory)
    values, _ = librosa.load(testdata_filename, sr=16000)
    values = np.expand_dims(values, axis=0)
    test_timeseries = Timeseries(values)
    command = self.learner.infer(test_timeseries)
    self.assertEqual(command.data, 8)
    try:
        shutil.rmtree(TEMP_SAVE_DIR)
    except OSError as e:
        print(f"Exception when trying to remove temp directory: {e.strerror}")