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A two-channel training algorithm for hidden Markov model to identify visual speech elements

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A two-channel training algorithm for hidden Markov model to identify visual speech elements

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dc.contributor.author Foo, Say Wei
dc.contributor.author Yong, Lian
dc.contributor.author Dong, Liang
dc.date.accessioned 2009-07-29T08:36:07Z
dc.date.available 2009-07-29T08:36:07Z
dc.date.copyright 2003
dc.date.issued 2009-07-29T08:36:07Z
dc.identifier.citation Foo, S. W., Yong, L., & Dong, L. (2003). A two-channel training algorithm for hidden Markov model to identify visual speech elements. In Proceedings of the International Symposium on Circuits and Systems 2003: (pp.572-575). Singapore.
dc.identifier.uri http://hdl.handle.net/10220/5843
dc.description.abstract A novel two-channel algorithm is proposed in this paper for discriminative training of Hidden Markov Models (HMMs). It adjusts the symbol emission coefficients of an existing HMM to maximize the separable distance between a pair of confusable training samples. The method is applied to identify the visemes of visual speech. The results indicate that the two-channel training method provides better accuracy on separating similar visemes than the conventional Baum-Welch estimation.
dc.format.extent 4 p.
dc.language.iso en
dc.rights © 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. 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.
dc.subject DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
dc.title A two-channel training algorithm for hidden Markov model to identify visual speech elements
dc.type Conference Paper
dc.contributor.conference IEEE International Symposium on Circuits and Systems (2003 : Bangkok, Thailand)
dc.contributor.school School of Electrical and Electronic Engineering
dc.identifier.doi http://dx.doi.org/10.1109/ISCAS.2003.1206038
dc.description.version Published version

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