《中国邮电高校学报(英文)》论文投稿模板.docx

《《中国邮电高校学报(英文)》论文投稿模板.docx》由会员分享，可在线阅读，更多相关《《中国邮电高校学报(英文)》论文投稿模板.docx（10页珍藏版）》请在优知文库上搜索。

1、Noisyspeechemotionrecognitionusingsamp1.ereconstructionandmu1.tip1.e-kerne1.1.earningJiangXiaoqing121XiaKcwcn1(0),1.inYong1.iang,BaiJianchuan1. Schoo1.XE1.cctnx2Infixnuiitxi1.Acrn.IfcbeiUfIiYCrtiI)MTbtKKihgy.TianjinXOU1.I.Chuu2. Schoo1.ofInZormutionScuetuxandEngiCKCnc:,UnivCnjCyfJirun.J1.n由25K22.Cu3

2、. InfoEXiiionCeneer.HanjinChsiian1.ivcnMy.TiCejin5(MMH4.ChinaAbstractSpeechemotionrecognition(SER)innoisyenvixmmen1.isavita1.issueinartificia1.ime1.Iigence(A1.).Inthispaper,(hereconstructionofspeechsamp1.esrcnu)vcstheaddednoise.Acousticfeaturesextractedfromthereconstructedsamp1.esarcse1.x1.cd(obui1.

3、danopirna1.feuresubsetwithbe1.terCmO1.iona1.11xognizabih1.y.Amuhipk-keme1.(MK)support,ectormachine(SVM)c1.assifierso1.vedbyscni-dc11nitcprogramming(SDPIisadoptedinSERprocedure.TheproposedInC1.hodinthispaperisde11ms1.rbus1.whennmseexists.KcywHdxv1.MrtionsisneededtomakeaPrOperresponse.Inthispaper,nois

4、ySERisstudiedusing(hecombinationofsamp1.ereeouirUC1.ionbasedoncompressedsensing(CS)theoryandmu1.tip1.eke11e1.1.earning(MK1.).InSER1.woessentia1.aspectsinf1.uencingthePCrfOfmansoftheemotionrecognitionsystemW2OI6CxespriirJutk1.r：XuiKCQCr1.Emai1.:kw*i心MbinVdUeDOI:10.1016SI(K588851.17*H*features,andattc

5、mpposedbyDonohoe(a1.providespromisingmehcKtoOOiSyspeechprocessing6-7.SparsercpfsenatininCStheoryhasbeenusedinnonarane(ricc1.assifier.Zhaoe(a1.adopted1.heenhancedsparseNPZMm1.i1.1.iOac1.assifierIodeus1.SER.Addi1.iuna1.1.y.asIhcderivedCocffiden1.sofnisearersparseinanytransferd(xnain.itisimpossib1.eIor

6、ve(heI1.cxibi1.i1.yofkerne1.fur(i.MK1.isProPOMrdanddeveked(bina(knofdif1.crcntkerne1.s.1.anCkriCtcta1.PrOPOSCdMK1.withatransductionsettingfor1.earningakerne1.matrixfromdata.Themethodaimedattheopibinationofpredefinedbasekerne1.stogenerateagoodtargetkerne1.(1.Jincta1.Pft)POScdfeaturefusionmethodbasedo

7、nMK1.toimprovethetoa1.SERperformanceofc1.eansamp1.es.TheWdghISofdi11crcnkerne1.scorrespondingtotheghba1.and1.oca1.featuresaregivenhughagfidSearChnhve(heSVMnde1.inabinaryInjeMructuredmuki-c1.assc1.assifier,and(hefusionCOefnCien1.qOfdifferentkerne1.sareso1.vedbyIhcSDP(ofindUPIima1.WeighISofmuI1.ip1.ck

8、erne1.s.The3gofthep;iprarcstrc1.uredasIhcfo1.1.owings:Sect2reviews1.hebasicideaofCSinspexhsigna1.processingandana1.yzestheperformanceofnoisysamp1.ereconstruction.Sect.3introducesMK1.so1.vedbySDRAcousticfeaturesandfeaturese1.ectionarcpresentedinSect.4.ThCpcribrmanceeva1.uationofSERandexperimenta1.res

9、u1.tsarci1.1.ustratedandana1.yzedinSect.5.Fina1.1.ySect.6devotestotheconc1.usions.2 CSandsamp1.ereconstructionofnoisyspeechCScombinessamp1.ingandcomssiinintooMepusingIbeminimumnumberofmeasurementsWhhmaximuminfonnation.CSaimsIurecoversparseMgna1.withfarIg(hanNyquis1.*Sh;mnonsamp1.ingr*te.u11dIbereconstructioncanbeexactunderkeyConCCPIysuchs卬ani1.y