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Speaker and Digit Recognition by Audio-Visual Lip Biometrics
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4929-1262
2007 (English)In: Advances in biometrics: international conference, ICB 2007, Seoul, Korea, August 27-29, 2007 ; proceedings / [ed] Lee, SW and Li, SZ, Berlin: Springer, 2007, p. 1016-1024Conference paper, Published paper (Other (popular science, discussion, etc.))
Abstract [en]

This paper proposes a new robust bi-modal audio visual digit and speaker recognition system by lip-motion and speech biometrics. To increase the robustness of digit and speaker recognition, we have proposed a method using speaker lip motion information extracted from video sequences with low resolution (128 ×128 pixels). In this paper we investigate a biometric system for digit recognition and speaker identification based using line-motion estimation with speech information and Support Vector Machines. The acoustic and visual features are fused at the feature level showing favourable results with digit recognition being 83% to 100% and speaker recognition 100% on the XM2VTS database.

Place, publisher, year, edition, pages
Berlin: Springer, 2007. p. 1016-1024
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; Volume 4642/2007
Keywords [en]
Biometric identification, Pattern recognition systems, Computer networks
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-2129DOI: 10.1007/978-3-540-74549-5_106ISI: 000249584900106Scopus ID: 2-s2.0-37849028022Local ID: 2082/2524ISBN: 978-3-540-74548-8 (print)OAI: oai:DiVA.org:hh-2129DiVA, id: diva2:239347
Conference
International Conference on Biometrics Location, Seoul, SOUTH KOREA, AUG 27-29, 2007
Available from: 2008-11-12 Created: 2008-11-12 Last updated: 2018-03-23Bibliographically approved

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Faraj, Maycel IsaacBigun, Josef

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf