Publications:Speaker and Digit Recognition by Audio-Visual Lip Biometrics

From ISLAB/CAISR
Revision as of 12:50, 13 March 2014 by SlawekBot (talk | contribs) (Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Maycel I. Faraj, Josef Bigun |PID=239347 |Name=Faraj, Maycel I. [mafa] (Hö...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

Do not edit this section

Property "Publisher" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user.

Keep all hand-made modifications below

Title Speaker and Digit Recognition by Audio-Visual Lip Biometrics
Author
Year 2007
PublicationType Conference Paper
Journal
HostPublication Advances in biometrics : international conference, ICB 2007, Seoul, Korea, August 27-29, 2007 ; proceedings
Conference International Conference on Biometrics Location, Seoul, SOUTH KOREA, AUG 27-29, 2007
DOI http://dx.doi.org/10.1007/978-3-540-74549-5_106
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239347
Abstract

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.