文件名称:libsvm[by-faruto]
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用libsvm支持向量机进行说话人识别，其中包括对语音的预处理，主成分分析，对语音的训练，识别-With SVM speaker recognition, including pretreatment of voice, principal component analysis
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下载文件列表
libsvm[by faruto]\a_template_flow_usingSVM_class.m
.................\a_template_flow_usingSVM_regress.m
.................\ClassResult.m
.................\ClassResult_test.m
.................\gaSVMcgForClass.m
.................\gaSVMcgForRegress.m
.................\gaSVMcgpForRegress.m
.................\libsvm参数说明.txt
.................\myprivate\gatbx[Sheffield]\bs2rv.m
.................\.........\................\contents.m
.................\.........\................\crtbase.m
.................\.........\................\crtbp.m
.................\.........\................\crtrp.m
.................\.........\................\migrate.m
.................\.........\................\mpga.m
.................\.........\................\mut.m
.................\.........\................\mutate.m
.................\.........\................\mutbga.m
.................\.........\................\.ytest\gaSVM.m
.................\.........\................\ranking.m
.................\.........\................\recdis.m
.................\.........\................\recint.m
.................\.........\................\reclin.m
.................\.........\................\recmut.m
.................\.........\................\recombin.m
.................\.........\................\reins.m
.................\.........\................\rep.m
.................\.........\................\resplot.m
.................\.........\................\rws.m
.................\.........\................\scaling.m
.................\.........\................\select.m
.................\.........\................\sus.m
.................\.........\................\xovdp.m
.................\.........\................\xovdprs.m
.................\.........\................\xovmp.m
.................\.........\................\xovsh.m
.................\.........\................\xovshrs.m
.................\.........\................\xovsp.m
.................\.........\................\xovsprs.m
.................\.........\plotroc2009b.m
.................\pcaForSVM.m
.................\plotSVMroc.m
.................\plotSVMroc_test.m
.................\plotSVMroc_test2.m
.................\psoSVMcgForClass.m
.................\psoSVMcgForRegress.m
.................\psoSVMcgpForRegress.m
.................\Readme[by faruto]CN.txt
.................\Readme[by faruto]EN.txt
.................\scaleForSVM.m
.................\SVC.m
.................\SVC_test.m
.................\SVMcgForClass.m
.................\SVMcgForRegress.m
.................\svmplot.m
.................\SVR.m
.................\SVR_test.m
.................\testingFuntion_beta\#gaSVMcgForClass.m
.................\...................\#gaSVMcgForRegress.m
.................\...................\#gaSVMcgpForRegress.m
.................\...................\DCTforSVM.m
.................\...................\fasticaForSVM.m
.................\...................\SVMcgpForRegress.m
.................\...................\testFor_DCT.m
.................\...................\test_for_ica_SVM.m
.................\...._data\adult.mat
.................\.........\book.mat
.................\.........\data1.mat
.................\.........\image_seg.mat
.................\.........\test1.mat
.................\.........\testFor_image_seg.m
.................\.........\wine_test.mat
.................\.........\x123.mat
.................\.........2\wine_test.mat
.................\..........\x123.mat
.................\TutorialForFarutoUltimate3.1.pdf
.................\TutorialTest.m
.................\VF.m
.................\更新说明2011.06.10.txt
.................\myprivate\gatbx[Sheffield]\mytest
.................\.........\gatbx[Sheffield]
.................\myprivate
.................\testingFuntion_beta
.................\test_data
.................\test_data2
libsvm[by faruto]