Abstract
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.
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Cerekovic, A., Zoric, G., Smid, K., Pandzic, I.S. (2008). Towards Realistic Real Time Speech-Driven Facial Animation. In: Prendinger, H., Lester, J., Ishizuka, M. (eds) Intelligent Virtual Agents. IVA 2008. Lecture Notes in Computer Science(), vol 5208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85483-8_51
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DOI: https://doi.org/10.1007/978-3-540-85483-8_51
Publisher Name: Springer, Berlin, Heidelberg
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