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Acoustic Modeling for Emotion Recognition

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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.

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Detail Information

Series Title

SpringerBriefs in Speech Technology

Call Number

005.432 ANN a

Publisher

Cham, Switzerland : Springer., 2015

Collation

VII, 66

Language

English

ISBN/ISSN

978-3-319-15530-2

Classification

005.432

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

Ed. 1

Subject(s)

Signal
Computational Linguistics

Specific Detail Info

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Statement of Responsibility

Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati

Other Information

Cataloger

umi

Source

https://link.springer.com/content/pdf/10.1007/978-3-319-15530-2.pdf?pdf=button

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