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Theobald, B, Bangham, JA, Matthews, I and Cawley, GC 
ORCID: https://orcid.org/0000-0002-4118-9095
(2001)
Visual speech synthesis using statistical models of shape and appearance.
In: International Conference on Auditory-Visual Speech Processing (AVSP-2001), 2001-09-07 - 2001-09-09.
Abstract
In this paper we present preliminary results of work towards a video-realistic visual speech synthesizer based on statistical models of shape and appearance. A sequence of images corresponding to an utterance is formed by concatenation of synthesis units (in this case triphones) from a pre-recorded inventory. Initial work has concentrated on a compact representation of human faces, accommodating an extensive visual speech corpus without incurring excessive storage costs. The minimal set of control parameters of a combined appearance model is selected according to formal subjective testing. We also present two methods used to build statistical models that account for the perceptually important regions of the face.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Computational Biology Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Data Science and Statistics Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences |
| Related URLs: | |
| Depositing User: | Vishal Gautam |
| Date Deposited: | 25 Aug 2011 14:24 |
| Last Modified: | 21 Apr 2023 01:50 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/21910 |
| DOI: |
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