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dc.contributor.authorWang, SL
dc.contributor.authorLiew, AWC
dc.date.accessioned2017-05-03T16:57:18Z
dc.date.available2017-05-03T16:57:18Z
dc.date.issued2008
dc.date.modified2009-07-14T06:43:41Z
dc.identifier.isbn978-0-7695-3122-9
dc.identifier.doi10.1109/SITIS.2007.37
dc.identifier.urihttp://hdl.handle.net/10072/24594
dc.description.abstractCompared with some "static" biometrics such as human face and fingerprint, person authentication based on lip movement has the advantage of incorporating "dynamic" features which contain rich information indicating the speaker identity. This paper proposes a new lip feature representation and analyzes its discrimination power for person authentication. Since the original lip features are usually of high-dimension, the independent component analysis (ICA) is adopted for dimension- reduction and discriminative feature extraction. Hidden Markov model (HMM) is then employed as the classifier for its superiority in dealing with time-series data. Experiments are carried out on a database containing 40 speakers in our lab. By analyzing the experimental results, detailed evaluation for various lip feature representation is made and 98.07% accuracy rate in speaker recognition and 2.31% EER in speaker authentication is achieved using our lip feature representation.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent396275 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherIEEE
dc.publisher.placePiscataway, USA
dc.publisher.urihttp://ieeexplore.ieee.org/servlet/opac?punumber=4618740
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencenameIEEE International Conference on Signal Image Technology and Internet Based Systems
dc.relation.ispartofconferencetitleSITIS 2007: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGIES & INTERNET BASED SYSTEMS
dc.relation.ispartofdatefrom2007-12-16
dc.relation.ispartofdateto2007-12-19
dc.relation.ispartoflocationShanghai, PEOPLES R CHINA
dc.relation.ispartofpagefrom763
dc.relation.ispartofpageto+
dc.rights.retentionY
dc.subject.fieldofresearchCommunication technology and digital media studies
dc.subject.fieldofresearchcode470102
dc.titleICA-Based Lip Feature Representation for Speaker Authentication
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.rights.copyright© 2007 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.
gro.date.issued2007
gro.hasfulltextFull Text
gro.griffith.authorLiew, Alan Wee-Chung


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    Contains papers delivered by Griffith authors at national and international conferences.

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