Logistic kernel function and its application to speech recognition

被引：0
|
作者：
Liu, Xiao-Feng [1 ]
Zhang, Xue-Ying [2 ]
Wang, Zizhong John [3 ]
机构：
[1] College of Mathematics, Taiyuan University of Technology, Taiyuan, 030024, Shanxi
[2] College of Information Engineering, Taiyuan University of Technology, Taiyuan, 030024, Shanxi
[3] Department of Mathematics and Computer Science, Virginia Wesleyan College, Norfolk, 23502, VA
来源：
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2015年 / 43卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Logistic kernel function; Mercer kernel; Speech recognition; Support vector machines;
D O I：
10.3969/j.issn.1000-565X.2015.05.016
中图分类号：
学科分类号：
摘要：
Kernel function is the core of support vector machine (SVM) and directly affects the performance of SVM. In order to improve the learning ability and generalization ability of SVM for speech recognition, a Logistic kernel function, which is proved to be a Mercer kernel function, is presented. Experimental results on bi-spiral and speech recognition problems show that the presented Logistic kernel function is effective and performs better than linear, polynomial, radial basis and exponential radial basis kernel functions, especially in the case of speech recognition. ©, 2015, South China University of Technology. All right reserved.
引用
收藏
页码：100 / 106
页数：6
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