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MAB
Acoustic Modeling for Emotion Recognition
Kategorie
Beschreibung
036a
XA-DE
037b
eng
087q
978-3-319-15529-6
100
Anne, Koteswara Rao
104b
Kuchibhotla, Swarna
108b
Vankayalapati, Hima Deepthi
331
Acoustic Modeling for Emotion Recognition
410
[s.l.]
412
Springer-Verlag
425
2015
425a
2015
433
Online-Ressource (VII, 66 p. 24 illus., 17 illus. in color, online resource)
451b
SpringerBriefs 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
540a
ISBN 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
125a
Elektronischer Volltext - Campuslizenz
655e
$uhttp://dx.doi.org/10.1007/978-3-319-15530-2
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