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Robust Emotion Recognition using Spectral and Prosodic FeaturesRobust Emotion Recognition using Speaking Rate Features

Robust Emotion Recognition using Spectral and Prosodic Features: Robust Emotion Recognition using... [In this chapter speaking rate characteristics of speech are explored for discriminating the emotions. In real life, we observe that certain emotions are very active with high speaking rate and some are passive with low speaking rate. With this motivation, in this chapter, we have proposed a two stage emotion recognition system, where the emotions are classified into three broad groups (active, neutral and passive) at the first stage and during second stage emotions in each broad group are further classified. Spectral and prosodic features are explored in each stage for discriminating the emotions. Combination of spectral and prosodic features is observed to be performed better.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Robust Emotion Recognition using Spectral and Prosodic FeaturesRobust Emotion Recognition using Speaking Rate Features

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Publisher
Springer New York
Copyright
© The Author(s) 2013
ISBN
978-1-4614-6359-7
Pages
85 –94
DOI
10.1007/978-1-4614-6360-3_5
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter speaking rate characteristics of speech are explored for discriminating the emotions. In real life, we observe that certain emotions are very active with high speaking rate and some are passive with low speaking rate. With this motivation, in this chapter, we have proposed a two stage emotion recognition system, where the emotions are classified into three broad groups (active, neutral and passive) at the first stage and during second stage emotions in each broad group are further classified. Spectral and prosodic features are explored in each stage for discriminating the emotions. Combination of spectral and prosodic features is observed to be performed better.]

Published: Jan 13, 2013

Keywords: Speaking Rate; Emotion Recognition Performance; Prosodic Features; Excitation Source Features; Fine-level Classification

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