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Comparison of HMM and TMDN Methods for Lip Synchronisation

, and . Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH), page 454-457. Makuhari, Japan, (September 2010)

Abstract

This paper presents a comparison between a hidden Markov model (HMM) based method and a novel artificial neural network (ANN) based method for lip synchronisation. Both model types were trained on motion tracking data, and a perceptual evaluation was carried out comparing the output of the models, both to each other and to the original tracked data. It was found that the ANN-based method was judged significantly better than the HMM based method. Furthermore, the original data was not judged significantly better than the output of the ANN method.

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