Overview
- Deals with emotions in terms of how to characterize the emotions, how to acquire the emotion-specific information from speech conversations and finally how to incorporate the acquired emotion-specific information to synthesize the desired emotions
- Proposes pitch synchronous and sub-syllabic spectral features for characterizing emotions
- Explores global and local prosodic features at syllable, word and phrase levels to capture the emotion-discriminative information
- Demonstrates real life emotions using hierarchical models based on speaking rate
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the authors
K. Sreenivasa Rao is at Indian Institute of Technology, Kharagpur, India.
Shashidhar G, Koolagudi is at Graphic Era University, Dehradun, India.
Bibliographic Information
Book Title: Robust Emotion Recognition using Spectral and Prosodic Features
Authors: K. Sreenivasa Rao, Shashidhar G. Koolagudi
Series Title: SpringerBriefs in Speech Technology
DOI: https://doi.org/10.1007/978-1-4614-6360-3
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-1-4614-6359-7Published: 12 January 2013
eBook ISBN: 978-1-4614-6360-3Published: 13 January 2013
Series ISSN: 2191-737X
Series E-ISSN: 2191-7388
Edition Number: 1
Number of Pages: XII, 118
Number of Illustrations: 22 b/w illustrations, 15 illustrations in colour
Topics: Signal, Image and Speech Processing, User Interfaces and Human Computer Interaction, Natural Language Processing (NLP), Computational Linguistics