A novel multi-reduced SVM approach for speaker recognition

doi:10.1109/FSKD.2008.476

CORC > 兰州理工大学 > 兰州理工大学

	A novel multi-reduced SVM approach for speaker recognition
	Li, Ming 1; Luo, Ruiling 1,2; Xing, Yujuan 1
	2008
会议日期	October 18, 2008 - October 20, 2008
会议地点	Jinan, Shandong, China
关键词	Fuzzy systems Speech recognition Clustering centers Entropy-based Important features Input vector Possibilistic C-means Speaker recognition Support vector Training time
卷号	4
DOI	10.1109/FSKD.2008.476
页码	462-466
英文摘要	To overcome the vast computation of standard SVM, a novel multi-reduced SVM method for speaker recognition is proposed in this paper. The proposed method consists of three parts. Firstly the entropy-based feature selection approach is exploited to reduce the dimension of the input vectors by extracting the important feature attributes, in which the performance of the clustering is improved. Secondly the kernel-based possibilistic C-means (KPCM) clustering algorithm has been run on the selected samples to give out a series of clustering centers, which can represent better the clusters they belong to in high space. Finally, these clustering centers are applied to train RSVM as support vectors .By doing so, we can ensure that the loss of information is minimum. The experimental results show that the training time and storage can be reduced remarkably without deteriorating the recognition performance by the proposed method compared with other reduced algorithms. © 2008 IEEE.
会议录	Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116981]
专题	兰州理工大学
作者单位	1.School of Computer and Communication, Lanzhou University of Technology, Lanzhou ,730050, China; 2.College of Information Science and Technology, Shihezi University, Shihezi, 832000, China
推荐引用方式 GB/T 7714	Li, Ming,Luo, Ruiling,Xing, Yujuan. A novel multi-reduced SVM approach for speaker recognition[C]. 见:. Jinan, Shandong, China. October 18, 2008 - October 20, 2008.