Robust Person Verification based on Speech and Facial Images

This paper describes a multi-modal person verification system using speech and frontal face images. We consider two different speaker verification algorithms, a text-independent method using a second-order statistical measure and a text-dependent method based on hidden Markov modelling, as well as a face verification technique using a robust form of corellation. Fusion of the different recognition modules is performed by a Support Vector Machine classifier. Experimental results obtained on the audio-visual database XM2VTS for individual modalities and their combinations show that multimodal systems yield better performances than individual modules for all cases.


Published in:
Proceedings of the European Conference on Speech Communication and Technology, 991-994
Presented at:
Proceedings of the European Conference on Speech Communication and Technology
Year:
1999
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 Record created 2006-03-10, last modified 2018-03-17

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