Emotion Recognition using Speech Features

"Emotion Recognition Using Speech Features" covers emotion-specific features present in speech and discussion of suitable models for capturing emotion-specific information for distinguishing different emotions.  The content of this book is important for designing and developing  natural an...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Rao, K. Sreenivasa (Autor), Koolagudi, Shashidhar G. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Temas:
Signal processing.
User interfaces (Computer systems).
Human-computer interaction.
Computational linguistics.
Signal, Speech and Image Processing .
User Interfaces and Human Computer Interaction.
Computational Linguistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Speech Emotion Recognition: A Review
  • Emotion Recognition Using Excitation Source Information
  • Emotion Recognition Using Vocal Tract Information
  • Emotion Recognition Using Prosodic Information
  • Summary and Conclusions
  • Linear Prediction Analysis of Speech
  • MFCC Features
  • Gaussian Mixture Model (GMM).

Ejemplares similares