Acoustic Modeling for Emotion Recognition

✍ Scribed by Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati (auth.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 72
• Series: SpringerBriefs in Electrical and Computer Engineering
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-vii
Introduction....Pages 1-6
Emotion Recognition Using Prosodic Features....Pages 7-15
Emotion Recognition Using Spectral Features....Pages 17-26
Feature Fusion Techniques....Pages 27-32
Emotional Speech Corpora....Pages 33-35
Classification Models....Pages 37-54
Comparative Analysis of Classifiers in Emotion Recognition....Pages 55-60
Summary and Conclusions....Pages 61-62
Back Matter....Pages 63-66

✦ Subjects

Signal, Image and Speech Processing; Computational Linguistics; User Interfaces and Human Computer Interaction; Acoustics