Out-of-Vocabulary Rejection based on Selective Attention Model

被引：0
|
作者：
Ki-Young Park
Soo-Young Lee
机构：
[1] Korea Advanced Institute of Science and Technology,Brain Science Research Center; Department of Electrical Engineering
[2] Korea Advanced Institute of Science and Technology,Brain Science Research Center; Department of Electrical Engineering
来源：
Neural Processing Letters | 2000年 / 12卷
关键词：
error backpropagation; noisy speech; out-of-vocabulary rejection; robust speech recognition; selective attention;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Based on a psychological selective attention theory a new algorithm is developed to provide reliable out-of-vocabulary (OOV) rejection for speech recognition systems in noisy environments. The developed attention model is based on Broadbent's ‘early filtering’ theory, and the attention adaptation process utilizes a gradient-descent error minimization algorithm with error backpropagation rule. The developed model is applied to isolated-word recognition tasks, and much higher in-vocabulary recognition rates are achieved with the same out-of-vocabulary rejection rates.
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页码：41 / 48
页数：7
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