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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Acoustic Modeling for Emotion Recognition

Acoustic Modeling for Emotion Recognition

Anne, Koteswara Rao
Kuchibhotla, Swarna
Vankayalapati, Hima Deepthi

Paperback

Series: Springerbriefs in Speech Technology

LinguisticsTechnology & EngineeringGeneral Computers

ISBN10: 3319155296
ISBN13: 9783319155296
Publisher: Springer Nature
Published: Mar 30 2015
Pages: 66
Weight: 0.26
Height: 0.16 Width: 6.14 Depth: 9.21
Language: English
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.

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