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An Implementation of Multimodal Speaker Verification System using Teeth Image and Voice on Mobile Environment  

Kim, Dong-Ju (School of Information and Communication Engineering, Sungkyunkwan University)
Ha, Kil-Ram (School of Information and Communication Engineering, Sungkyunkwan University)
Hong, Kwang-Seok (School of Information and Communication Engineering, Sungkyunkwan University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.45, no.5, 2008 , pp. 162-172 More about this Journal
Abstract
In this paper, we propose a multimodal speaker verification method using teeth image and voice as biometric trait for personal verification in mobile terminal equipment. The proposed method obtains the biometric traits using image and sound input devices of smart-phone that is one of mobile terminal equipments, and performs verification with biometric traits. In addition, the proposed method consists the multimodal-fashion of combining two biometric authentication scores for totally performance enhancement, the fusion method is accompanied a weighted-summation method which has comparative simple structure and superior performance for considering limited resources of system. The performance evaluation of proposed multimodal speaker authentication system conducts using a database acquired in smart-phone for 40 subjects. The experimental result shows 8.59% of EER in case of teeth verification 11.73% in case of voice verification and the multimodal speaker authentication result presented the 4.05% of EER. In the experimental result, we obtain the enhanced performance more than each using teeth and voice by using the simple weight-summation method in the multimodal speaker verification system.
Keywords
multimodal biometrics; teeth verification; voice verification;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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