Referenced Items are not available for this document.
In this paper, a system that transforms speech waveforms to animated faces are proposed. The system relies on a state space model to perform the mapping. To create a photo realistic image, an active appearance model is used. The main contribution of the paper is to compare a Kalman filter and a hidden Markov model approach to the mapping. It is shown that even though the HMM can get a higher test likelihood than the Kalman filter, it is much easier to train and the animation quality is better for the Kalman filter.
Published in:
Multimedia Signal Processing, 2004 IEEE 6th Workshop on
Date of Conference: 29 Sept.-1 Oct. 2004
- Page(s):
- 51 - 54
- Print ISBN:
- 0-7803-8578-0
- INSPEC Accession Number:
- 8330578
- Digital Object Identifier :
- 10.1109/MMSP.2004.1436413
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
