Overview
- Discusses complete state-of -art features, models and databases in the context of emotion recognition
- Explores implicit and explicit excitation source features for discriminating the emotions
- Proposes pitch synchronous and sub-syllabic spectral features, in addition to conventional spectral features, for characterizing emotions
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)
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Table of contents (6 chapters)
Authors and Affiliations
About the authors
Shashidhar G, Koolagudi is at the Graphic Era University, Dehradun, India.
Bibliographic Information
Book Title: Emotion Recognition using Speech Features
Authors: K. Sreenivasa Rao, Shashidhar G. Koolagudi
Series Title: SpringerBriefs in Speech Technology
DOI: https://doi.org/10.1007/978-1-4614-5143-3
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2013
Softcover ISBN: 978-1-4614-5142-6Published: 07 November 2012
eBook ISBN: 978-1-4614-5143-3Published: 07 November 2012
Series ISSN: 2191-737X
Series E-ISSN: 2191-7388
Edition Number: 1
Number of Pages: XII, 124
Number of Illustrations: 24 b/w illustrations, 6 illustrations in colour
Topics: Signal, Image and Speech Processing, User Interfaces and Human Computer Interaction, Computational Linguistics