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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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Previews available in: English
Subjects
Engineering, Translators (Computer programs), Computer science, Language Translation and Linguistics, Image and Speech Processing Signal, User Interfaces and Human Computer Interaction, Computational linguistics, Speech processing systems, Pattern recognition systems, Spectral analysis (Phonetics), Prosodic analysis (Linguistics), Linguistic analysis (linguistics)Edition | Availability |
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1
Robust Emotion Recognition using Spectral and Prosodic Features
2013, Springer New York, Imprint: Springer
electronic resource /
in English
1461463602 9781461463603
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2
Robust Emotion Recognition using Spectral and Prosodic Features
Jan 12, 2013, Springer
paperback
1461463599 9781461463597
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3
Robust Emotion Recognition using Spectral and Prosodic Features
Jan 12, 2013, Springer
paperback
1461463610 9781461463610
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Feedback?February 26, 2022 | Edited by ImportBot | import existing book |
November 13, 2020 | Edited by MARC Bot | import existing book |
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