%0 Journal Article
%T Dialect Identification Based on PCA and LDA<br>基于 PCA 和 LDA 的方言辨识
%A HE Yan
%A YU Feng-Qin
%A <br>何艳
%A 于凤芹
%J 计算机系统应用
%D 2012
%I 
%X In order to solve the low dialect identification rate because PCA doesn＇t effectively use the sample classification information,a method of feature extraction using PCA and LDA is employed.In this paper,PCA is used to effectively reduce the dimensions of Mandarin,Shanghainese,Cantonese,Minnanese,and then LDA is adopted to extract feature vectors from the dimension-reduced space as the input vectors with BP neural network to recognize.The Simulation results demonstrate that the average dialect identification rate based on PCA and LDA can be up to 85%.
%K dialect identification
%K PCA
%K LDA
%K BP neural network<br>方言辨识
%K 主成分分析
%K 线性鉴别分析
%K BP神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=57C6AD9B0ADA05374D98BB25524F8C00&yid=99E9153A83D4CB11&vid=659D3B06EBF534A7&iid=94C357A881DFC066&sid=954CE65414DD94CA&eid=42CB9322D65BFDD3&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=8