Robust Emotion Recognition using Spectral and Prosodic Features (SpringerBriefs in Speech Technology) - Tapa blanda

Rao, K. Sreenivasa

 
9781461463597: Robust Emotion Recognition using Spectral and Prosodic Features (SpringerBriefs in Speech Technology)

Sinopsis

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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Acerca del autor

K. Sreenivasa Rao is at Indian Institute of Technology, Kharagpur, India.
Shashidhar G, Koolagudi is at Graphic Era University, Dehradun, India.

De la contraportada

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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Otras ediciones populares con el mismo título

9781461463610: Robust Emotion Recognition using Spectral and Prosodic Features

Edición Destacada

ISBN 10:  1461463610 ISBN 13:  9781461463610
Editorial: Springer, 2013
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