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

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.

关键词： SC-SVM OOV rejection speech recognition

作者: Dongzhi He Yibin Hou Zhangqin Huang Zhihao Ding

作者单位: Institute of Embedded Software and System,Beijing University of Technology,Beijing,CO 100124 China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 1376-1380

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）