Acoustic modeling for emotion recognition [electronic resource] / Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati.
Anne, Koteswara Rao, author.; Kuchibhotla, Swarna, author.; Vankayalapati, Hima Deepthi, author.
2015
QC243
Available Online

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Title Acoustic modeling for emotion recognition [electronic resource] / Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati.
Author Anne, Koteswara Rao, author.
ISBN 9783319155302 electronic book
331915530X electronic book
9783319155296
DOI https://doi.org/10.1007/978-3-319-15530-2
Published Cham : Springer, [2015]
Copyright ©2015
Language English
Description 1 online resource (vii, 66 pages).
Item Number 10.1007/978-3-319-15530-2 doi
Call Number QC243
Dewey Decimal Classification 534
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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Added Author Kuchibhotla, Swarna, author.
Vankayalapati, Hima Deepthi, author.
Series SpringerBriefs in electrical and computer engineering. Speech technology.
Available in Other Form Print version: 9783319155296
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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.

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