Support vector domain description
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
A Speech Driven Talking Head System Based on a Single Face Image
PG '99 Proceedings of the 7th Pacific Conference on Computer Graphics and Applications
Talking Faces - Technologies and Applications
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
A Novel Kernel Method for Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Approach to Speech Driven Animation
IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Realistic Mouth-Synching for Speech-Driven Talking Face Using Articulatory Modelling
IEEE Transactions on Multimedia
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This work describes a real-time voice driven method using which a speaker's lip shape is synchronized with the corresponding speech signal, for a low bandwidth mobile devices Phoneme recognition is generally regarded as an important task in the operation of a real-time lip-sync system In this work, the use of the kernel-based lip shape clustering algorithm is inspired based on one-class support vector machines (SVM) A set of speaker who has similar lip shape is clustered and a cluster-dependent vowel phoneme is then constructed for each cluster We use sum of absolute difference (SAD) as vowel lip shape likelihood to cluster into categories Then adjust the source and destination pictures of lip shape in the transparent level using alpha blending for lip-sync animation We find that this method outperforms conventional CHMM method in phoneme error rate (PER), 8.78% and 32.25%, respectively.