Emotion Recognition using Speech Features

• Main Authors: Rao, K. Sreenivasa (Author), Koolagudi, Shashidhar G. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: SpringerBriefs in Electrical and Computer Engineering, SpringerBriefs in Speech Technology,
• Subjects: Engineering.; User interfaces (Computer systems).; Computational linguistics.; Signal, Image and Speech Processing.; User Interfaces and Human Computer Interaction.; Computational Linguistics.

“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 and sophisti...

Table of Contents:

• 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).