Robust Emotion Recognition using Spectral and Prosodic Features
1st Edition
Published on 13. January 2013
XII, 118 pages
978-1-4614-6360-3 (ISBN)
Description
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 complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
Springer US
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XII, 118 p. 37 illus., 15 illus. in color.
File size
3,12 MB
ISBN-13
978-1-4614-6360-3 (9781461463603)
DOI
10.1007/978-1-4614-6360-3
Schweitzer Classification
Other editions
Additional editions
K. Sreenivasa Rao | Shashidhar G. Koolagudi
Robust Emotion Recognition using Spectral and Prosodic Features
Book
01/2013
Springer
€53.49
Shipment within 15-20 days
Persons
K. Sreenivasa Rao is at Indian Institute of Technology, Kharagpur, India.
Shashidhar G, Koolagudi is at Graphic Era University, Dehradun, India.
Content
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).
