A Real-time Lip Sync System Using a Genetic Algorithm for Automatic Neural Network Configuration (CROSBI ID 508037)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Zorić, Goranka ; Pandžić, Igor
engleski
A Real-time Lip Sync System Using a Genetic Algorithm for Automatic Neural Network Configuration
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 network design by trial and error and considerably improves the viseme classification results. This method is suitable for real-time and offline applications.
lip synchronization; genetic algorithms; neural networks
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Podaci o prilogu
2005.
objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
IEEE International Conference on Multimedia & Expo ICME 2005
predavanje
06.07.2005-08.07.2005
Amsterdam, Nizozemska