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Research on Emotions and Human-Machine Interaction
HUMAINE News
Call for Proposals to host the Fifth International Conference on Affective Computing and Intelligent Interaction (ACII 2013)
The HUMAINE association is pleased to call for proposals to host the Fifth International Conference on Affective Computing and Intelligent Interaction (ACII 2013). ACII is a central event for researchers exploring the role of emotion and other affective phenomena in human-computer and human-robot interaction, with relations to graphics, AI, robotics, vision, speech, synthetic characters, games, educational software, etc.
, 15 March 2012
INTERSPEECH 2012 Speaker Trait Challenge
The INTERSPEECH 2012 Speaker Trait Challenge shall help bridging the gap between excellent research on paralinguistic information in spoken language and low compatibility of results. Three Sub-Challenges are addressed: In the Personality Sub-Challenge, the personality of a speaker has to be determined based on acoustics potentially including linguistics above or below average for the OCEAN five personality dimensions. In the Likability Sub-Challenge, the likability of a speaker's voice has to be determined by a suited learning algorithm and acoustic features. While the annotation provides likability in multiple levels, only two classes have to be recognised accordingly: likability above or below average. In the Pathology Sub-Challenge, the intelligibility of a speaker has to be determined by a suited classification algorithm and acoustic features. The results of the Challenge will be presented at Interspeech 2012 in Portland, Oregon. Prizes will be awarded to the Sub-Challenge winners.
Portland, Oregon, 09 September 2012
Affective Human-Machine Interaction
JeJu Island, Korea, 26 June 2012

Tool of the day

FEELTRACE

http://emotion-research.net/toolbox/feeltrace.gif
Feeltrace is a two dimensional emotion labelling tool. It allows labellers to trace emotional content in real time on two dimensions - activation and evaluation.
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Researcher of the day


Chu Kiong Loo
Multimedia University
Key research interests:

Real-time emotion recognition; Multi-modal fusion emotion recognition; On-line emotion recognition; Hybrid explicit-implicit emotion recognition
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