Acoustic Modeling for Emotion Recognition

Nonfiction, Science & Nature, Technology, Electronics, Reference & Language, Language Arts, Linguistics
Cover of the book Acoustic Modeling for Emotion Recognition by Hima Deepthi Vankayalapati, Swarna Kuchibhotla, Koteswara Rao Anne, Springer International Publishing
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Author: Hima Deepthi Vankayalapati, Swarna Kuchibhotla, Koteswara Rao Anne ISBN: 9783319155302
Publisher: Springer International Publishing Publication: March 14, 2015
Imprint: Springer Language: English
Author: Hima Deepthi Vankayalapati, Swarna Kuchibhotla, Koteswara Rao Anne
ISBN: 9783319155302
Publisher: Springer International Publishing
Publication: March 14, 2015
Imprint: Springer
Language: English

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.

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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.

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