An image based approach provides an efficient way for visual speech synthesis. In an image based visual speech synthesis system, a few lip images, namely visemes, are used for generating an arbitrary new sentence. Many approaches select visemes manually. The authors propose a method for a system to automatically select visemes by minimizing the synthesis error. The feasibility of the proposed method has been demonstrated by experiments. We describe an application of image based visual speech synthesis to a multimodal communication agent for a translation task where two people, who speak different languages, can talk to each other over the Internet.
['Jie Yang', 'Jing Xiao', 'Max Ritter']
Automatic selection of visemes for image-based visual speech synthesis