High quality lips animation with speech and captured facial action unit as A/V input

Rendering realistic lips movements in avatar with camera captured human´s facial features is desirable in many applications, e.g. telepresence, video gaming, social networking, etc. We have proposed to use Gaussian Mixture Model (GMM) to generate lips trajectory and successfully tested in speech-to-lips conversion experiments, where only audio signal (speech) is used as input. In this paper real-time user´s facial features called the Action Units (AUs) well tracked by Microsoft Kinect SDK with a consumer-grade RGB camera, are combined with speech to form joint A/V input for lips animation. We test the lips ani-mation performance and show that the new combined A/V input can improve the conversion error rate by 22% in a speaker de-pendent test, compared with a baseline system.