Robust Emotion Recognition using Spectral and Prosodic Features
K. Sreenivasa Rao · 2013
Where to buy
Amazon’s price changes daily, so the most accurate place to see it is there, at the moment you buy.
View on AmazonThis is an affiliate link: if you buy through it, the site earns a small commission at no extra cost to you, which helps us bring quality content and maintain the site. As an Amazon Associate we earn from qualifying purchases.
About the book
<p>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.</p><p>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.</p>
Book details
- Year
- 2013
- Language
- English
- Series
- SpringerBriefs in Electrical and Computer Engineering
- Publisher
- Springer New York
- Editions
- 3
- Pages
- 118
- ISBN
- 9781461463603
Data source: Wikidata
More by K. Sreenivasa Rao
