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» Modeling the Experience of Emotion
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ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
15 years 3 months ago
Emotion recognition from speech VIA boosted Gaussian mixture models
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...
137
Voted
IJON
2006
83views more  IJON 2006»
15 years 5 months ago
Modelling the interaction of attention and emotion
We review a recently developed engineering control approach to attention. The control system is extended to include biasing by emotional valence, with qualitative analysis given of...
Nickolaos F. Fragopanagos, John G. Taylor
ACMACE
2008
ACM
15 years 7 months ago
An affective model of user experience for interactive art
The development of Affective Interface technologies makes it possible to envision a new generation of Digital Arts and Entertainment applications, in which interaction will be bas...
Stephen W. Gilroy, Marc Cavazza, Rémi Chaig...
FGR
2011
IEEE
244views Biometrics» more  FGR 2011»
14 years 9 months ago
Emotion representation, analysis and synthesis in continuous space: A survey
— Despite major advances within the affective computing research field, modelling, analysing, interpreting and responding to naturalistic human affective behaviour still remains...
Hatice Gunes, Björn Schuller, Maja Pantic, Ro...
LREC
2008
153views Education» more  LREC 2008»
15 years 7 months ago
Coding Emotional Events in Audiovisual Corpora
The modelling of realistic emotional behaviour is needed for various applications in multimodal human-machine interaction such as the design of emotional conversational agents (Ma...
Laurence Devillers, Jean-Claude Martin