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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Robust Emotion Recognition Using Spectral and Prosodic Features

Robust Emotion Recognition Using Spectral and Prosodic Features

Rao, K. Sreenivasa
Koolagudi, Shashidhar G.

Paperback

Series: Springerbriefs in Speech Technology

LinguisticsTechnology & EngineeringGeneral Computers

ISBN10: 1461463599
ISBN13: 9781461463597
Publisher: Springer Nature
Published: Jan 12 2013
Pages: 118
Weight: 0.45
Height: 0.50 Width: 6.00 Depth: 9.00
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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