Using polynomial networks for speech recognition

被引：0

作者：

Campbell, WM ^{[1
]}

Broun, CC ^{[1
]}

机构：

[1] Motorola Inc, Human Interface Lab, Tempe, AZ 85284 USA

来源：

NEURAL NETWORKS FOR SIGNAL PROCESSING X, VOLS 1 AND 2, PROCEEDINGS | 2000年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We consider the problem of using polynomial networks for speech recognition. Previous applications of polynomials to speech recognition have yielded systems which are difficult to train and have only moderate accuracy. We show that through a novel training algorithm, a probabilistic interpretation, and a novel scoring method, polynomials networks can be applied to speech recognition in a manner that is accurate and straightforward.

引用

页码：795 / 803

页数：9

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