A Visual Signal Reliability for Robust Audio-Visual Speaker Identification
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概要
- 論文の詳細を見る
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.
- （社）電子情報通信学会の論文
- 2011-10-01
著者
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Kim Jin
The Department Of Information & Communication Engineering
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Kim Jin
The Dept. Of Electronics Engineering Chonnam National University
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TARIQUZZAMAN Md.
the Dept. of Electronics Engineering, Chonnam National University
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NA Seung
the Dept. of Electronics Engineering, Chonnam National University
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KIM Hyoung-Gook
the Dept. of Wireless Communications Eng., Kwangwoon University
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HAR Dongsoo
the Dept. of Information & Communications, GIST
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Na Seung
The Dept. Of Electronics Engineering Chonnam National University
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Kim Hyoung-gook
The Dept. Of Wireless Communications Eng. Kwangwoon University
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Har Dongsoo
The Dept. Of Information & Communications Gist
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Tariquzzaman Md.
The Dept. Of Electronics Engineering Chonnam National University
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Kim Jin
The Department Of Electrical Engineering Postech
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