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1、MEASUREMENTSCIENCEREVIEW,17,(2017),No.6,257-263Journalhomepage:http://www.degruyter.com/view/j/msrTwoMethodsofAutomaticEvaluationofSpeechSignalEnhancementRecordedintheOpen-AirMRIEnvironmentJiříPřibil1,AnnaPřibilová2,IvanFrollo11InstituteofMeasurementScience,SAS,Dúbravsk
2、ácesta9,SK-84104Bratislava,Slovakia,Jiri.Pribil@savba.sk2InstituteofElectronicsandPhotonics,FEE&IT,SUT,Ilkovičova3,SK-81219Bratislava,SlovakiaThepaperfocusesontwomethodsofevaluationofsuccessfulnessofspeechsignalenhancementrecordedintheopen-airmagneticresonanceimagerduri
3、ngphonationforthe3Dhumanvocaltractmodeling.ThefirstapproachenablestoobtainacomparisonbasedonstatisticalanalysisbyANOVAandhypothesistests.ThesecondmethodisbasedonclassificationbyGaussianmixturemodels(GMM).TheperformedexperimentshaveconfirmedthattheproposedANOVAandGMMclas
4、sifiersforautomaticevaluationofthespeechqualityarefunctionalandproducefullycomparableresultswiththestandardevaluationbasedonthelisteningtestmethod.Keywords:Acousticnoisesuppression,magneticresonanceimaging,speechprocessing,statisticalanalysis.1.INTRODUCTIONannotationoft
5、hespeechcorpus,etc.[13]).Theobjectiveapproachesformeasuringthespeechsignalquality[14]Constructionof3Darticulatorymodelsisnecessaryforcomprise,forexample,evaluationofdifferencesbetweenthebetterrepresentationofthehumanvocaltractfunctionandspeechspectralenvelopes[11]orspec
6、traldistances[12],etc.thesubsequentarticulatoryspeechsynthesis.Forthisreason,Thesefeaturesmaybecomparedandmatchedusingthetheaudiosignalmustberecordedsimultaneouslywiththestatisticalapproaches,liketheanalysisofvariancesimagescanning[1].Themagneticresonanceimaging(MRI)(AN
7、OVA)[15],[16]orhypothesistests[17],[18].ThefinaldeviceisusedtoobtainthevocaltractimagesoftheevaluationintheseapproachesbearstheformofaarticulatingpersonthatliesinthescanningareawhiletherecognitionscorethatcanbeobtainedbythemethodsbasedMRsequenceisrunning[2],[3].TheMRIeq
8、uipmentonartificialneuralnetworks,thenearestneighbor[19],consistsofagradientcoilsystemproducingthreeorthogonal
