In this work we concentrate on finding correlation between speech signal and occurrence of facial gestures with the goal of creating believable virtual humans. We propose a method to implement facial gestures as a valuable part of human behavior and communication. Information needed for the generation of the facial gestures is extracted from speech prosody by analyzing natural speech in real time. This work is based on the previously developed HUGE architecture for statistically based facial gesturing, and extends our previous work on automatic real time lip sync. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Cerekovic, A., Zoric, G., Smid, K., & Pandzic, I. S. (2008). Towards realistic real time speech-driven facial animation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5208 LNAI, pp. 476–478). https://doi.org/10.1007/978-3-540-85483-8_51
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