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1、2015年7月四川大學(xué)學(xué)報(bào)(自然科學(xué)版)July．2015第52卷第4期JournalofSiehuanUniversity(NaturalScienceEdition)V01．52NO．4doi：103969／j．issn．0490—6756．2015．07．021基于FastICA的語(yǔ)音盲源分離方法趙忠華，楊曉梅(1．新疆師范大學(xué)物理與電子工程學(xué)院，烏魯木齊830054；2．新疆財(cái)經(jīng)大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院，烏魯木齊830012)摘要：獨(dú)立分量分析(ICA)在處理盲信號(hào)分離中被廣泛使用，但其收斂速度較慢．為此文章重點(diǎn)介紹了一種更為有效的盲源分離方法——一快速獨(dú)立分量分析(FastICA)
2、．文章在介紹了FastICA的基本理論和方法之后，將其應(yīng)用到語(yǔ)音分離中．在采集了三個(gè)實(shí)際的聲音信號(hào)后，將三個(gè)原始信號(hào)進(jìn)行混疊，在matlab仿真環(huán)境下用FastICA方法對(duì)混疊信號(hào)進(jìn)行分離，將分離結(jié)果與原始信號(hào)波形進(jìn)行比對(duì)，結(jié)果說(shuō)明該算法具有良好的分離效果．關(guān)鍵詞：盲源分離；語(yǔ)音信號(hào)識(shí)別；FastICA中圖分類號(hào)：TN912．34文獻(xiàn)標(biāo)識(shí)碼：A文章編號(hào)：0490—6756(2015)04—0830—05BlindseparationofsoundsignalbyusingFastICAZHAOZhong—Hua．YANGXiao—Mei。(1．CollegeofPhysicsandElect
3、ronicEngineering，XinjiangNormalUniversity，Urumqi830054，China；2．CollegeofComputerScienceandEngineering，Xi~iangUniversityofFinanceandEconomics，Urumqi830012，China)Abstract：Theindependentcomponentanalysis(ICA)isausablemethodtodealwithablindsignalsep—arationproblem，butwhichconvergesslowly．Inthispaper，am
4、oreeffectivealgorithmofblindsourceseDarationispresented，whichisthefastindependentcomponentanalysis(FastlCA)．ItintroducesthatthebasictheoryandapplicationofFastICAinsoundsignalseparation．Threeactualspeechsignalsarefactitiouslymixed，andwhichareseparatedbyusingtheconventionalFastICA．Theseparatedresults
5、showthattheFastICAhasgoodseparationefficiency．Keywords：Blindsignalseparation；Soundsignalseparation；FastlCAcomponentanalysis(ICA)[一]isausableap1IntrOducti0nproachtoestimateoriginalsignalsfromtheobTheblindsignalseparation(BSS)hasmanyservedones．ICAisastatisticalapproachtosolvingtheapplicationssuchasar
6、rayprocessing，imagepro—BSSproblembyalineartransformationtothere—cessing，speechprocessing，telecommunicationsandmedicalsignalprocessing[卜．Thissepara—cordedsignalsSOthattherecoveredsignalsarestatisticallyindependentofeachother一．Theretioniscarriedoutwithoutknowledgeofthemix—aremanydifferentmeasuresofIC
7、Aestimation．ingparametersandthepropertiesoftheoriginalInthisstudy，weintroduceaveryeffectivesignals．InthefieldoftheBSS，theindependentmethodbyfixed-pointiterationscheme，whichis收稿日期：2015—03—13基金項(xiàng)目：新疆師范大學(xué)優(yōu)秀青年教師
