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Robust Emotion Recognition using Spectral and Prosodic Features (SpringerBriefs in Electrical and Computer Engineering)

K. Sreenivasa Rao, Shashidhar G. Koolagudi




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 | #6687258 in Books |  Springer |  2013-01-12 |  2013-01-12 | Original language:English | PDF # 1 |  9.25 x.31 x6.10l,.45 | File type: PDF | 118 pages

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||From the Back Cover||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

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 speakin...

You easily download any file type for your gadget.Robust Emotion Recognition using Spectral and Prosodic Features (SpringerBriefs in Electrical and Computer Engineering)   |  K. Sreenivasa Rao, Shashidhar G. Koolagudi.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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