Acoustic Modeling for Emotion Recognition
1st Edition
Published on 14. March 2015
VII, 66 pages
978-3-319-15530-2 (ISBN)
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.
Reviews / Votes
"The aim of this book is to bring out various features through speech processing, and use them in an acoustic model to recognize the emotion conveyed by the person. . the monogram looks concise and interesting and should be of interest to postgraduates and researchers in speech processing." (Soubhik Chakraborty, Computing Reviews, April, 2016)
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VII, 66 p. 24 illus., 17 illus. in color.
File size
1,58 MB
ISBN-13
978-3-319-15530-2 (9783319155302)
DOI
10.1007/978-3-319-15530-2
Schweitzer Classification
Other editions
Additional editions
Koteswara Rao Anne | Swarna Kuchibhotla | Hima Deepthi Vankayalapati
Acoustic Modeling for Emotion Recognition
Book
03/2015
Springer
€53.49
Shipment within 10-15 days
Content
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.
