Near-videorealistic synthetic visual speech using non-rigid appearance models

Theobald, BJ, Cawley, GC, Matthews, I and Bangham, JA (2003) Near-videorealistic synthetic visual speech using non-rigid appearance models. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '03), 2003-04-06 - 2003-04-10.

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Abstract

We present work towards videorealistic synthetic visual speech using non-rigid appearance models. These models are used to track a talking face enunciating a set of training sentences. The resultant parameter trajectories are used in a concatenative synthesis scheme, where samples of original data are extracted from a corpus and concatenated to form new unseen sequences. Here we explore the effect on the synthesiser output of blending several synthesis units considered similar to the desired unit. We present preliminary subjective and objective results used to judge the realism of the system.

Item Type: Conference or Workshop Item (Paper)
Faculty \ School: Faculty of Science > School of Computing Sciences
University of East Anglia > Faculty of Science > Research Groups > Computational Biology (subgroups are shown below) > Machine learning in computational biology
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Depositing User: Vishal Gautam
Date Deposited: 04 Jul 2011 09:28
Last Modified: 17 Jul 2018 17:53
URI: https://ueaeprints.uea.ac.uk/id/eprint/22081
DOI:

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