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9783319155302 - Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati: Acoustic Modeling for Emotion Recognition (SpringerBriefs in Electrical and Computer Engineering) - Book
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Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati (?):

Acoustic Modeling for Emotion Recognition (SpringerBriefs in Electrical and Computer Engineering) (2015) (?)

Delivery from: United States of AmericaBook is in english languageNew bookeBook, e-Book, digital bookproduct for digital download

ISBN: 9783319155302 (?) or 331915530X, in english, 66 pages, 2015. Edition, Springer, New, ebook, digital download

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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. , Kindle Edition, Ausgabe: 2015, Format: Kindle eBook, Label: Springer, Springer, Produktgruppe: eBooks, Publiziert: 2015-03-14, Freigegeben: 2015-03-14, Studio: Springer
Platform order number Amazon.com-eBooks: B00UPRBLPG
Keywords: Books, Computers & Technology, Computer Science, Human-Computer Interaction, Web Development & Design, User Experience & Usability, Microelectronics, Optoelectronics, Semiconductors, Sensors, Solid State, Transistors, Engineering & Transportation, Electrical & Electronics, Reference & Test Preparation, Words, Language & Grammar, Linguistics, Science & Math, Physics, Acoustics & Sound, Kindle Store, Kindle eBooks, Graphic Design, Stereo & Audio Equipment, Kindle Short Reads, Two hours or more (65-100 pages)
Data from 09/15/2015 13:59h
ISBN (alternative notations): 3-319-15530-X, 978-3-319-15530-2

9783319155302

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