Generation of realistic facial animation of a CG avatar speaking a moraic language

Ryoto Kato, Yusuke Kikuchi, Vibol Yem, Y. Ikei
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Abstract

We propose a new method for generating real-time realistic facial animation using face mesh data corresponding to the fifty-six C+V (Consonant and Vowel) type morae that form the basis of Japanese speech. This method produces facial expressions by weighted addition of fifty-three face meshes based on the mapping of voice streaming to registered morae in real-time. Both photogrammetric models and existing off-the-shelf head models can be used as face meshes. Natural facial expressions of speech can be synthesized from a modeling to live animation in less than two hours. The results of a user study of our method showed that the facial expression during Japanese speech was more natural than popular real-time methods to generate facial animation, English-base Oculus Lipsync and volume intensity based facial animations.
生成真实的面部动画的CG化身说一个moraic语言
我们提出了一种新的方法来生成实时逼真的面部动画,使用面部网格数据对应56个C+V(辅音和元音)类型的morae,形成日语语音的基础。该方法基于实时语音流与注册人脸的映射,对53个人脸网格进行加权相加,生成面部表情。摄影测量模型和现有的现成的头部模型都可以用作面部网格。语音的自然面部表情可以在不到两个小时的时间内从建模合成到实时动画。我们的方法的用户研究结果表明,日语演讲时的面部表情比流行的实时生成面部动画的方法、基于英语的Oculus Lipsync和基于音量强度的面部动画更自然。
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