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Hybrid phoneme based clustering approach for audio driven facial animation

Havell, B, Rosin, PL, Sanei, S, Aubrey, A, Marshall, D and Hicks, Y (2012) Hybrid phoneme based clustering approach for audio driven facial animation ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. pp. 2261-2264.

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Abstract

We consider the problem of producing accurate facial animation corresponding to a given input speech signal. A popular technique previously used for Audio Driven Facial Animation is to build a joint audio-visual model using Active Appearance Models (AAMs) to represent possible facial variations and Hidden Markov Models (HMMs) to select the correct appearance based on the input audio. © 2012 IEEE.

Item Type: Article
Authors :
AuthorsEmailORCID
Havell, BUNSPECIFIEDUNSPECIFIED
Rosin, PLUNSPECIFIEDUNSPECIFIED
Sanei, SUNSPECIFIEDUNSPECIFIED
Aubrey, AUNSPECIFIEDUNSPECIFIED
Marshall, DUNSPECIFIEDUNSPECIFIED
Hicks, YUNSPECIFIEDUNSPECIFIED
Date : 2012
Identification Number : https://doi.org/10.1109/ICASSP.2012.6288364
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:13
Last Modified : 28 Mar 2017 14:13
URI: http://epubs.surrey.ac.uk/id/eprint/742474

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