TY  - BOOK
AU  - Rao,K.Sreenivasa
AU  - Koolagudi,Shashidhar G.
ED  - SpringerLink (Online service)
TI  - Robust Emotion Recognition using Spectral and Prosodic Features
T2  - SpringerBriefs in Electrical and Computer Engineering,
SN  - 9781461463603
AV  - TK5102.9 
U1  - 621.382 23
PY  - 2013///
CY  - New York, NY
PB  - Springer New York, Imprint: Springer
KW  - Engineering
KW  - User interfaces (Computer systems)
KW  - Computational linguistics
KW  - Signal, Image and Speech Processing
KW  - User Interfaces and Human Computer Interaction
KW  - Language Translation and Linguistics
KW  - Computational Linguistics
N1  - Introduction -- Robust Emotion Recognition using Pitch Synchronous and Sub-syllabic Spectral Features -- Robust Emotion Recognition using Word and Syllable Level Prosodic Features -- Robust Emotion Recognition using Combination of Excitation Source, Spectral and Prosodic Features -- Robust Emotion Recognition using Speaking Rate Features -- Emotion Recognition on Real Life Emotions -- Summary and Conclusions -- MFCC Features -- Gaussian Mixture Model (GMM)
N2  - 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
UR  - http://dx.doi.org/10.1007/978-1-4614-6360-3
ER  -