Modeling continuous visual speech using boosted viseme models

In this paper, a novel connected-viseme approach for modeling continuous visual speech is presented. The approach adopts AdaBoost-HMMs as the viseme models. Continuous visual speech is modeled by connecting the viseme models using level building algorithm. The approach is applied to identify words...

Full description

Saved in:

Bibliographic Details
Main Authors:	Dong, Liang, Foo, Say Wei, Yong, Lian
Other Authors:	School of Electrical and Electronic Engineering
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Online Access:	https://hdl.handle.net/10356/91029 http://hdl.handle.net/10220/6002
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-91029
record_format	dspace
spelling	sg-ntu-dr.10356-910292020-03-07T13:24:46Z Modeling continuous visual speech using boosted viseme models Dong, Liang Foo, Say Wei Yong, Lian School of Electrical and Electronic Engineering International Conference on Information, Communications and Signal Processing (4th : 2003 : Singapore) IEEE Pacific Rim Conference on Multimedia (4th : 2003 : Singapore) DRNTU::Engineering::Electrical and electronic engineering::Electronic systems In this paper, a novel connected-viseme approach for modeling continuous visual speech is presented. The approach adopts AdaBoost-HMMs as the viseme models. Continuous visual speech is modeled by connecting the viseme models using level building algorithm. The approach is applied to identify words and phrases in visual speech. The recognition results indicate that the proposed method has better performance than the conventional approach. Accepted version 2009-08-03T03:43:47Z 2019-12-06T17:58:27Z 2009-08-03T03:43:47Z 2019-12-06T17:58:27Z 2003 2003 Conference Paper Dong, L., Foo, S. W., & Lian, Y. (2003). Modeling continuous visual speech using boosted viseme models. Proeedings of the 4th International Conference on Information, Communications and Signal Processing and the 4th IEEE Pacific-Rim Conference on Multimedia. Vol.3.(pp. 1394-1398). Singapore: IEEE. https://hdl.handle.net/10356/91029 http://hdl.handle.net/10220/6002 10.1109/ICICS.2003.1292694 en International Conference on Information, Communications and Signal Processing and IEEE Pacific-Rim Conference on Multimedia © 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site. 5 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Dong, Liang Foo, Say Wei Yong, Lian Modeling continuous visual speech using boosted viseme models
description	In this paper, a novel connected-viseme approach for modeling continuous visual speech is presented. The approach adopts AdaBoost-HMMs as the viseme models. Continuous visual speech is modeled by connecting the viseme models using level building algorithm. The approach is applied to identify words and phrases in visual speech. The recognition results indicate that the proposed method has better performance than the conventional approach.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Dong, Liang Foo, Say Wei Yong, Lian
format	Conference or Workshop Item
author	Dong, Liang Foo, Say Wei Yong, Lian
author_sort	Dong, Liang
title	Modeling continuous visual speech using boosted viseme models
title_short	Modeling continuous visual speech using boosted viseme models
title_full	Modeling continuous visual speech using boosted viseme models
title_fullStr	Modeling continuous visual speech using boosted viseme models
title_full_unstemmed	Modeling continuous visual speech using boosted viseme models
title_sort	modeling continuous visual speech using boosted viseme models
publishDate	2009
url	https://hdl.handle.net/10356/91029 http://hdl.handle.net/10220/6002
_version_	1681037780219592704

Modeling continuous visual speech using boosted viseme models

Similar Items