%0 Journal Article
%T Hierarchical speaker identification based on PCA and multi-reduced SVM<br>基于PCA和多约简SVM的多级说话人辨识
%A LIU Xue-yan
%A LI Ming
%A ZHANG Ya-feng
%A <br>刘雪燕
%A 李明
%A 张亚芬
%J 计算机应用
%D 2008
%I 
%X This paper proposed a new hierarchical speaker identification system based on Multi-Reduced Support Vector Machine (MRSVM) and Principal Component Analysis (PCA) classifier to reduce the recognition time of speaker identification. First get a coarse judge by a fast scan of all registered speaker using PCA classifier, and then get a final decision-making by the proposed MRSVM. And the MRSVM has two reduction steps: PCA and kernel-based fuzzy clustering are used to reduce the dimensions and amounts of trainin...
%K PCA transform
%K Speaker Identification
%K Multi-Reduced Support Vector Machines (MRSVM)
%K Kernel-based fuzzy clustering<br>多约简支持向量机
%K 模糊核聚类
%K 主成分分析变换
%K 多级说话人辨识
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=7CEF10952C593C074F23C6F5CD106DAA&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=CA4FD0336C81A37A&sid=B344543C2864D684&eid=B47A0E731AF43EB2&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=13