Acoustic Modeling for Emotion Recognition

SpringerBriefs in Speech Technology

by Koteswara Rao Anne, Swama Kuchibhotla, Hima Deepthi Vankayalapati

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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66 pages, Paperback

First published January 1, 2015