Single-class Support Vector Machine for an Out-of-Vocabulary Rejection of Isolated Words

被引：0

作者：

He, Dongzhi ^{[1
]}

Hou, Yibin ^{[1
]}

Huang, Zhangqin ^{[1
]}

Ding, Zhihao ^{[1
]}

机构：

[1] Beijing Univ Technol, Inst Embedded Software & Syst, Beijing 100124, CO, Peoples R China

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2009), VOLS 1-4 | 2009年

关键词：

SC-SVM; OOV rejection; speech recognition;

D O I：

10.1109/ROBIO.2009.5420814

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Single-class support vector machines(SC-SVMs) are different from the standard two-class SVM techniques. This algorithm is used to allow the pass through of the only positive data by treating the origin as the only member of the second class. Here, we present an algorithm for rejecting out-of-vocabulary (OOV) phrases. Our method uses SC-SVM mechanism to detect and reject the phrases of OOV. We also depict the trends in in-vocabulary(IV) correct recognition and OOV rejection with the number of command increasing and give an analysis.

引用

页码：1376 / 1380

页数：5

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