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Acoustic Modeling for Emotion Recognition
Kategorie Beschreibung
036aXA-DE
037beng
087q978-3-319-15529-6
100 Anne, Koteswara Rao
104bKuchibhotla, Swarna
108bVankayalapati, Hima Deepthi
331 Acoustic Modeling for Emotion Recognition
410 [s.l.]
412 Springer-Verlag
425 2015
425a2015
433 Online-Ressource (VII, 66 p. 24 illus., 17 illus. in color, online resource)
451bSpringerBriefs in Electrical and Computer Engineering
501 Description based upon print version of record
517 IntroductionEmotion Recognition using Prosodic features -- Emotion Recognition using Spectral features -- Emotional Speech Corpora -- Classification Models -- Comparative Analysis of Classifiers in emotion recognition -- Summary and Conclusions.
527 Druckausg.ISBN: 978-331-91552-9-6
540aISBN 978-3-319-15530-2
700 |UYS
700 |COM073000
700 |TTBM
700 |TEC008000
700b|620,2
700b|006.35
700b|621.382
700c|TK5102.9
700c|TA1637-1638
700c|TK7882.S65
750 Introduction -- 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.
753 This 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.
012 429158025
081 Anne, Koteswara Rao: Acoustic Modeling for Emotion Recognition
100 Springer E-Book
125aElektronischer Volltext - Campuslizenz
655e$uhttp://dx.doi.org/10.1007/978-3-319-15530-2
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