A Visual Signal Reliability for Robust 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 audiovisual 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.
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Issue Date
2011-10
Language
English
Article Type
Article
Citation

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E94D, no.10, pp.2052 - 2055

ISSN
0916-8532
DOI
10.1587/transinf.E94.D.2052
URI
http://hdl.handle.net/10203/103871
Appears in Collection
GT-Journal Papers(저널논문)
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