This paper deals with speech emotion analysis within the context of increasing awareness on wide application potential of affective computing. Unlike the most of works in the literature which mainly rely on classical frequency and energy based features along with a single global classifier for emotion recognition, we propose in this paper some new harmonic and Zipf based features for better spe...
