Acoustic Modeling for Emotion Recognition

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Éditeur :

Springer


Collection :

SpringerBriefs in Speech Technology

Paru le : 2015-03-14

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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.
Pages
66 pages
Collection
SpringerBriefs in Speech Technology
Parution
2015-03-14
Marque
Springer
EAN papier
9783319155296
EAN EPUB
9783319155302

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
6
Taille du fichier
1219 Ko
Prix
52,74 €