Acoustic Modeling for Emotion Recognition / SpringerBriefs in Speech Technology (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autoren: Koteswara Rao Anne , Swarna Kuchibhotla , Hima Deepthi Vankayalapati
- 2015, 2015, 66 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 331915530X
- ISBN-13: 9783319155302
- Erscheinungsdatum: 14.03.2015
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 1.50 MB
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Sprache:
Englisch
Pressezitat
“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)
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