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Acoustic Modeling for Emotion Recognition
Koteswara Rao, Anne; Kuchibhotla, Swarna; Vankayalapati, Hima Deepthi
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Description for Acoustic Modeling for Emotion Recognition
paperback. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 66 pages, 7 black & white illustrations, 17 colour illustrations, 10 black & white tables, biography. BIC Classification: CFX; PHDS; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 4. Weight in Grams: 134.
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.
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.
Product Details
Format
Paperback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
66
Condition
New
Series
SpringerBriefs in Electrical and Computer Engineering
Number of Pages
66
Place of Publication
Cham, Switzerland
ISBN
9783319155296
SKU
V9783319155296
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Acoustic Modeling for Emotion Recognition
“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)