  Generating 3D speech-driven talking head has received more and more attention
in recent years. Recent approaches mainly have following limitations: 1) most
speaker-independent methods need handcrafted features that are time-consuming
to design or unreliable; 2) there is no convincing method to support
multilingual or mixlingual speech as input. In this work, we propose a novel
approach using phonetic posteriorgrams (PPG). In this way, our method doesn't
need hand-crafted features and is more robust to noise compared to recent
approaches. Furthermore, our method can support multilingual speech as input by
building a universal phoneme space. As far as we know, our model is the first
to support multilingual/mixlingual speech as input with convincing results.
Objective and subjective experiments have shown that our model can generate
high quality animations given speech from unseen languages or speakers and be
robust to noise.
