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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Anne, Koteswara Rao (Autor), Kuchibhotla, Swarna (Autor), Vankayalapati, Hima Deepthi (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Temas:
Signal processing.
Computational linguistics.
User interfaces (Computer systems).
Human-computer interaction.
Acoustics.
Signal, Speech and Image Processing .
Computational Linguistics.
User Interfaces and Human Computer Interaction.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:VII, 66 p. 24 illus., 17 illus. in color. online resource.
ISBN:9783319155302
ISSN:2191-7388

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