Please use this identifier to cite or link to this item:
Title: Modeling continuous visual speech using boosted viseme models
Authors: Dong, Liang
Foo, Say Wei
Yong, Lian
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Issue Date: 2003
Source: 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.
Abstract: 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.
DOI: 10.1109/ICICS.2003.1292694
Rights: 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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

Files in This Item:
File Description SizeFormat 
Accepted322.71 kBAdobe PDFThumbnail

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.