Title Acoustic modeling for emotion recognition / Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati

Published Cham : Springer, [2015] ©2015

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Description 1 online resource (vii, 66 pages) Series SpringerBriefs in electrical and computer engineering. Speech technology SpringerBriefs in electrical and computer engineering. Speech technology Contents 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 Summary 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 Analysis man-machine interaction computers gebruikersinterfaces user interfaces taal language computertechnieken computer techniques taalwetenschappen linguistics engineering beeldverwerking image processing spraak speech geluidsleer acoustics Engineering (General) Techniek (algemeen) Bibliography Includes bibliographical references Notes Vendor-supplied metadata Subject Acoustic models. Emotions -- Mathematical models Computational linguistics. User interface design & usability. Wave mechanics (vibration & acoustics) Imaging systems & technology. SCIENCE -- Acoustics & Sound. Acoustic models Emotions -- Mathematical models Form Electronic book Author Kuchibhotla, Swarna, author Vankayalapati, Hima Deepthi, author ISBN 9783319155302 331915530X 3319155296 9783319155296

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