Multimodal person verification from video sequences

Ekenel, Hazım Kemal and Bilgin, Seyfettin Yasin and Eden, İbrahim and Kirişci, Meltem and Erdoğan, Hakan and Erçil, Aytül (2005) Multimodal person verification from video sequences. In: Special Workshop in Maui (SWIM): Lectures by Masters in Speech Processing, Nagoya/Japan

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In this paper, a multimodal person verification system based on fusing information derived from face speech signals is proposed. Principle component analysis and independent component analysis techniques are used for face verification and melfrequency-cepstral coefficients are used for speaker verification. The matching scores from individual modalities are combined using the sum rule. The results indicate that fusing indivual modalities improve overall performance of the verification system.
Item Type: Papers in Conference Proceedings
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Aytül Erçil
Date Deposited: 17 Feb 2007 02:00
Last Modified: 26 Apr 2022 08:36

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