A Real-Time Lip SYNC System Using a Genetic Algorithm for Automatic Neural Network Configuration

Abstract

In this paper we present a new method for mapping a natural speech to the lip shape animation in the real time. The speech signal, represented by MFCC vectors, is classified into viseme classes using neural networks. The topology of neural networks is automatically configured using genetic algorithms. This eliminates the need for tedious manual neural… (More)
DOI: 10.1109/ICME.2005.1521684

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@article{Zoric2005ARL, title={A Real-Time Lip SYNC System Using a Genetic Algorithm for Automatic Neural Network Configuration}, author={Goranka Zoric and Igor S. Pandzic}, journal={2005 IEEE International Conference on Multimedia and Expo}, year={2005}, pages={1366-1369} }