A Visual Signal Reliability for Robust Audio-Visual Speaker Identification

Md. TARIQUZZAMAN  Jin Young KIM  Seung You NA  Hyoung-Gook KIM  Dongsoo HAR  

IEICE TRANSACTIONS on Information and Systems   Vol.E94-D   No.10   pp.2052-2055
Publication Date: 2011/10/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E94.D.2052
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Human-computer Interaction
visual signal reliability measure,   Gaussian fuzzy membership function,  audio-visual speaker identification,  

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In this paper, a novel visual signal reliability (VSR) measure is proposed to consider video degradation at the signal level in audio-visual speaker identification (AVSI). The VSR estimation is formulated using a~ Gaussian fuzzy membership function (GFMF) to measure lighting variations. The variance parameters of GFMF are optimized in order to maximize the performance of the overall AVSI. The experimental results show that the proposed method outperforms the score-based reliability measuring technique.