Enhanced Emotion Recognition by Feature Selection to Animate a Talking Head

It is known that deaf and hard of hearing people can sub- stantially improve their skill to lip reading if they have access to speaker emotion. Moreover, it has been shown that animating an artificial talking head can provide this modality. In this paper, we assume that emotion recognition to animate such talking head can be performed using a small set of relevant features extracted from the speech signal. More precisely, we show that the implementation of linear classifiers using Support Vector Machines (SVM) with the involvement of a feature selection method leads to a promising performance which confirms our assumption.