Naslov
Estimation of Emotional States Enhanced by A Priori Knowledge

Autori
Dropuljić, Branimir ; Popović, Siniša ; Petrinović, Davor ; Ćosić, Krešimir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
4th IEEE International Conference on Cognitive Infocommunications / - , 2013, 481-486

Skup
4th IEEE International Conference on Cognitive Infocommunications (CogInfoCom13)

Mjesto i datum
Budimpešta, Mađarska, 02.12.2013. - 05.12.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
emotional state estimation; a priori knowledge; valence-arousal; acoustic speech features; support vector machines

Sažetak
This paper presents an improvement of conventional supervised-learning emotional state estimation in the form of dimensional valence-arousal values. In the proposed approach, outputs of the conventional estimator are additionally adapted using a priori knowledge about valence-arousal relations, which is extracted from the estimator’s training set. Different approaches to a priori knowledge modeling have been undertaken: (a) single integral model over valence-arousal space, and (b) integration of multiple models that represent different discrete emotions in the valence-arousal space, specifically happiness, sadness, fear, anger and neutral state. This emotion estimation approach has been applied to conventional valence-arousal estimation from acoustic speech features based on support vector machines, using data from Croatian emotional speech corpus. Improvement of the results has been demonstrated.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA