Description
Acoustic Modeling for Emotion Recognition, 2015
SpringerBriefs in Speech Technology Series
Authors: Anne Koteswara Rao, Kuchibhotla Swarna, Vankayalapati Hima Deepthi
Language: EnglishSubjects for Acoustic Modeling for Emotion Recognition:
Approximative price 52.74 €
In Print (Delivery period: 15 days).
Add to cart the book of Anne Koteswara Rao, Kuchibhotla Swarna, Vankayalapati Hima Deepthi
Publication date: 03-2015
66 p. · 15.5x23.5 cm · Paperback
66 p. · 15.5x23.5 cm · Paperback
Description
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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.
Introduction.- Emotion Recognition Using Prosodic features.- Emotion Recognition using Spectral features.- Feature Fusion Techniques.- Emotional Speech Corpora.- Classification Models.- Comparative Analysis of Classifiers in emotion recognition.- Summary and Conclusions.
Provides comprehensive research and application on classification of emotions through speech
Features extensive comparative study of classifiers, presenting results in different databases
Compares feature fusion techniques with emotions of individual features
Includes supplementary material: sn.pub/extras
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