The effectiveness of human-robot interaction depends on the capacity of a robot to modulate its behaviour according to human emotion(s). This work presents preliminary results regarding a Behaviour Modulation System (BeMoSys) implementable on a social robot with a capacity for emotional speech recognition based on signal-processing followed by machine-learning techniques.


Lytridis, E. Vrochidou, V. Kaburlasos, “Emotional speech recognition toward modulating the behavior of a social robot”, No. 18-2, Proceedings of the 2018 JSME Conference on Robotics and Mechatronics (ROBOMECH 2018), Kitakyushu, Japan, 2-5 June 2018, poster 1A1-B14.

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