ENGLISH

Acoustic Modeling for Emotion Recognition

By Koteswara Rao Anne , Swarna Kuchibhotla , Hima Deepthi Vankayalapati (auth.)

Book information

Publisher
Springer International Publishing
Year
2015
ISBN
978-3-319-15529-6, 978-3-319-15530-2
DOI
10.1007/978-3-319-15530-2
Language
english
Format
PDF
Filesize
1 MB (1553022 bytes)
Series
SpringerBriefs in Electrical and Computer Engineering
Edition
1
Pages
66\72
Time added
2015-04-23 16:00:00
Image and Speech Processing; Computational LinguisSignal

Description

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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