Robust Emotion Recognition using Spectral and Prosodic Features /

Bibliographic Details
Main Authors:	Rao, K. Sreenivasa. (Author), Koolagudi, Shashidhar G. (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:	1st ed. 2013.
Series:	SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Subjects:	Signal processing. Image processing. Speech processing systems. User interfaces (Computer systems). Natural language processing (Computer science). Computational linguistics. Signal, Image and Speech Processing. User Interfaces and Human Computer Interaction. Natural Language Processing (NLP). Computational Linguistics.

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).

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