Audio-Visual Continuous Recognition of Emotional State in a Multi-User System Based on Personalized Representation of Facial Expressions and Voice

This paper is devoted to tracking dynamics of psycho-emotional state based on analysis of the user’s facial video and voice. We propose a novel technology with personalized acoustic and visual lightweight neural network models that can be launched in real-time on any laptop or even mobile device. At...

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