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KMID : 1022420110030020065
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Phonetics and Speech Sciences
2011 Volume.3 No. 2 p.65 ~ p.70
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Improvement of Rejection Performance using the Lip Image and the PSO-NCM Optimization in Noisy Environment
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Kim Byoung-Don
Choi Seung-Ho
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Abstract
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Recently, audio-visual speech recognition (AVSR) has been studied to cope with noise problems in speech recognition. In this paper we propose a novel method of deciding weighting factors for audio-visual information fusion. We adopt the particle swarm optimization (PSO) to weighting factor determination. The AVSR experiments show that PSO-based normalized confidence measures (NCM) improve the rejection performance of mis-recognized words by 33%.
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KEYWORD
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audio-visual speech recognition, particle swarm optimization, normalized confidence measure, rejection performance
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