DocumentCode
3011903
Title
A Recognition Algorithm Based on NAPS Kernel Hyper-Sphere Support Vector Machine
Author
Xinyi, Zhang
Author_Institution
Sch. of Inf. Eng., WuYi Univ., Jiangmen, China
fYear
2010
fDate
25-27 June 2010
Firstpage
224
Lastpage
227
Abstract
First of all, This paper introduces the construction of NAPS kernel. Then a recognition algorithm which combines the NAPS kernel with general hyper-plane SVM as well as its application to speaker identification is studied, and the problem encountered is given. To overcome the problem, an algorithm based on the NAPS kernel hyper-sphere SVM is proposed and is applied to speaker identification. Experiments and theoretical analysis show that the algorithm proposed is effective.
Keywords
speaker recognition; support vector machines; NAPS kernel hyper-sphere support vector machine; naive a posteriori sequence; recognition algorithm; speaker identification; support vector machine; Classification algorithms; Error analysis; Kernel; Polynomials; Speech; Speech recognition; Support vector machines; Sequence Kernel; Speaker Recognition; Support Vector Machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.62
Filename
5631503
Link To Document