Robust Emotion Recognition using Spectral and Prosodic 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,
• Subjects: Engineering.; User interfaces (Computer systems).; Computational linguistics.; Signal, Image and Speech Processing.; User Interfaces and Human Computer Interaction.; Language Translation and Linguistics.; Computational Linguistics.

In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner. The authors also delve into the complement...

Table of Contents:

• Introduction
• Robust Emotion Recognition using Pitch Synchronous and Sub-syllabic Spectral Features
• Robust Emotion Recognition using Word and Syllable Level Prosodic Features
• Robust Emotion Recognition using Combination of Excitation Source, Spectral and Prosodic Features
• Robust Emotion Recognition using Speaking Rate Features
• Emotion Recognition on Real Life Emotions
• Summary and Conclusions
• MFCC Features
• Gaussian Mixture Model (GMM).