AN EFFICIENT APPROACH TO MULTIMODAL PERSON IDENTITY VERIFICATION BY FUSING FACE AND VOICE INFORMATION (ThuPmOR4)

Author(s) : Hsien-Ting Cheng (Academia Sinica, Taiwan) Yi-Hsiang Chao (Academia Sinica, Taiwan) Shih-Liang Yeh (Academia Sinica, Taiwan) Chu-Song Chen (Academia Sinica, Taiwan) Hsin-Min Wang (Academia Sinica, Taiwan) Yi-Ping Hung (Academia Sinica, Taiwan)

Abstract : This paper presents an effective method to combine speech recognition, speaker verification and face verification for biometric authentication. Our method provides a light-weight enrollment process and an easy-to-use verification interface. A multi-face/single-sentence strategy is used to combine voice and face verification modules, and support vector machine is employed for information fusion. Experimental results show that our method can achieve high verification accuracies.

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