Single-class support vector machine for an out-of-vocabulary rejection of isolated words

Authors:
Dongzhi He;Yibin Hou;Zhangqin Huang;Zhihao Ding
Affiliations:
Institute of Embedded Software and System, Beijing University of Technology, Beijing, China;Institute of Embedded Software and System, Beijing University of Technology, Beijing, China;Institute of Embedded Software and System, Beijing University of Technology, Beijing, China;Institute of Embedded Software and System, Beijing University of Technology, Beijing, China
Venue:
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Year:
2009

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Abstract

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.