Acoustic modeling for emotion recognition /
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 resu...
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | Book |
| Language: | English |
| Published: |
Cham :
Springer,
c2015.
|
| Series: | SpringerBriefs in electrical and computer engineering. Speech technology / editor Amy Neustein
|
| Subjects: | |
| Online Access: | Ver documento en línea |
| Summary: | 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. |
|---|---|
| Physical Description: | 1 recurso en línea (vii, 66 páginas) : ilustraciones (principalmente a color), diagrama a color, gráficos a color, archivo de texto, PDF. |
| ISBN: | 9783319155302 9783319155296 |
| Access: | Acceso al texto completo para la comunidad de la UCR por medio de la cuenta institucional |