TY  - GEN
AB  - 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.
AU  - Anne, Koteswara Rao,
AU  - Kuchibhotla, Swarna,
AU  - Vankayalapati, Hima Deepthi,
CN  - QC243
DO  - 10.1007/978-3-319-15530-2
DO  - doi
ID  - 726066
KW  - Acoustic models.
KW  - Emotions
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-15530-2
N2  - 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.
SN  - 9783319155302
SN  - 331915530X
T1  - Acoustic modeling for emotion recognition
TI  - Acoustic modeling for emotion recognition
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-15530-2
ER  -