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Comparison of HMM and TMD Methods for Lip Synchronisation

Proc. Interspeech 2010

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IS100668.pdf (1.076Mb)
Date
2010
Author
Hofer, Gregor
Richmond, Korin
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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.
URI
http://hdl.handle.net/1842/4558
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