Robust Emotion Recognition using Spectral and Prosodic Features

Nonfiction, Computers, Advanced Computing, Programming, User Interfaces, Science & Nature, Technology, Electronics
Cover of the book Robust Emotion Recognition using Spectral and Prosodic Features by K. Sreenivasa Rao, Shashidhar G. Koolagudi, Springer New York
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Author: K. Sreenivasa Rao, Shashidhar G. Koolagudi ISBN: 9781461463603
Publisher: Springer New York Publication: January 13, 2013
Imprint: Springer Language: English
Author: K. Sreenivasa Rao, Shashidhar G. Koolagudi
ISBN: 9781461463603
Publisher: Springer New York
Publication: January 13, 2013
Imprint: Springer
Language: English

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.

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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.

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