Title :
Single-class support vector machine for an out-of-vocabulary rejection of isolated words
Author :
He, Dongzhi ; Hou, Yibin ; Huang, Zhangqin ; Ding, Zhihao
Author_Institution :
Inst. of Embedded Software & Syst., Beijing Univ. of Technol., Beijing, China
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.
Keywords :
speech recognition; support vector machines; vocabulary; in-vocabulary correct recognition; out-of-vocabulary phrases rejection; single-class support vector machine; standard two-class SVM techniques; word speech recognition; Biomimetics; Educational programs; Educational technology; Embedded software; Helium; Laboratories; Robots; Speech recognition; Support vector machine classification; Support vector machines; OOV rejection; SC-SVM; speech recognition;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-4774-9
Electronic_ISBN :
978-1-4244-4775-6
DOI :
10.1109/ROBIO.2009.5420814
