Real-time recognition of affective states from non-verbal features of ...
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Abstract—this paper presents a new classification algorithm for real-time inference of affect from non-verbal features of speech.
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IEEETRANSACTIONSONAFFECTIVECOMPUTING1Real-timeRecognitionofAffectiveStatesfromNon-verbalFeaturesofSpeechanditsApplicationforPublicSpeakingSkillAnalysisTomasPfisterandPeterRobinsonAbstract—Thispaperpresentsanewclassificationalgorithmforreal-timeinferenceofaffectfromnon-verbalfeaturesofspeechandappliesittoassessingpublicspeakingskills.Theclassifieridentifiessimultaneouslyoccurringaffectivestatesbyrecognisingcorrelationsbetweenemotionsandover6000functional-featurecombinations.Pairwiseclassifiersareconstructedfor9classesfromtheMindReadingemotioncorpus,yieldinganaveragecross-validationaccuracyof89%forthepairwisemachinesand86%forthefusedmachine.Thepaperalsoshowsanovelapplicationoftheclassifierforassessingpublicspeakingskills,achievinganaveragecross-validationaccuracyof81%andaleave-one-speaker-outclassificationaccuracyof61%.Optimisingsupportvectormachinecoefficientsusinggridparametersearchisshowntoimprovetheaccuracybyupto25%.Theemotionclassifieroutperformspreviousresearchonthesameemotioncorpusandissuc...
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