  We present an end-to-end text-to-speech (TTS) synthesis system that generates
audio and synchronized tongue motion directly from text. This is achieved by
adapting a 3D model of the tongue surface to an articulatory dataset and
training a statistical parametric speech synthesis system directly on the
tongue model parameters. We evaluate the model at every step by comparing the
spatial coordinates of predicted articulatory movements against the reference
data. The results indicate a global mean Euclidean distance of less than 2.8
mm, and our approach can be adapted to add an articulatory modality to
conventional TTS applications without the need for extra data.
