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...
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...
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...
— Despite major advances within the affective computing research field, modelling, analysing, interpreting and responding to naturalistic human affective behaviour still remains...
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...