LEADER 00947nam--2200325---450 001 990002413630203316 005 20200513082719.0 035 $a000241363 035 $aUSA01000241363 035 $a(ALEPH)000241363USA01 035 $a000241363 100 $a20050421d1964----km-y0itay0103----ba 101 0 $aita 102 $aIT 105 $aa---||||001yy 200 1 $aCorrado Cagli$fEnrico Crispolti e Giuseppe Marchiori$gcollezione diretta da Ezio Gribaudo 210 $aTorino$cEdizioni d'Arte Pozzo$d1964 215 $a437 p.$cill.$d28 cm 600 1$aCagli,$bCorrado$xCataloghi di esposizioni 676 $a709.45 700 1$aCRISPOLTI,$bEnrico$0297014 701 1$aMARCHIORI,$bGiuseppe$0210129 702 1$aGRIBAUDO,$bEzio 801 0$aIT$bsalbc$gISBD 912 $a990002413630203316 951 $aXVII A. 2598$b571 DLAS$cXVII A.$d391975 959 $aBK 969 $aCAS 996 $aCorrado Cagli$91066163 997 $aUNISA LEADER 03989nam 22007455 450 001 9910299699903321 005 20200701171703.0 010 $a3-319-15530-X 024 7 $a10.1007/978-3-319-15530-2 035 $a(CKB)3710000000375704 035 $a(EBL)1998215 035 $a(SSID)ssj0001465340 035 $a(PQKBManifestationID)11919353 035 $a(PQKBTitleCode)TC0001465340 035 $a(PQKBWorkID)11472085 035 $a(PQKB)11326472 035 $a(DE-He213)978-3-319-15530-2 035 $a(MiAaPQ)EBC1998215 035 $a(PPN)184890608 035 $a(EXLCZ)993710000000375704 100 $a20150314d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAcoustic Modeling for Emotion Recognition /$fby Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (72 p.) 225 1 $aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 300 $aDescription based upon print version of record. 311 $a3-319-15529-6 320 $aIncludes bibliographical references. 327 $aIntroduction -- Emotion Recognition using Prosodic features -- Emotion Recognition using Spectral features -- Emotional Speech Corpora -- Classification Models -- Comparative Analysis of Classifiers in emotion recognition -- Summary and Conclusions. 330 $aThis book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications ? gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. Various emotion recognition models like Linear Discriminant Analysis (LDA), Regularized Discriminant Analysis (RDA), Support Vector Machines (SVM) and K-Nearest neighbor (KNN) and are explored in detail using prosody and spectral features, and feature fusion techniques. 410 0$aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aComputational linguistics 606 $aUser interfaces (Computer systems) 606 $aAcoustics 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aAcoustics$3https://scigraph.springernature.com/ontologies/product-market-codes/P21069 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aComputational linguistics. 615 0$aUser interfaces (Computer systems) 615 0$aAcoustics. 615 14$aSignal, Image and Speech Processing. 615 24$aComputational Linguistics. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aAcoustics. 676 $a621.382 700 $aAnne$b Koteswara Rao$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721051 702 $aKuchibhotla$b Swarna$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aVankayalapati$b Hima Deepthi$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299699903321 996 $aAcoustic Modeling for Emotion Recognition$92531587 997 $aUNINA