def METHOD_NAME(self, x: np.ndarray, transcription_output=True, batch_size=1):
    if len(x) != 1 or batch_size != 1:
        raise NotImplementedError("batch size should be 1")
    x = torch.tensor([i for i in x]).to(self._device)
    return self._model.forward(x, transcript=transcription_output)