An Italian Database of Emotional Speech and Facial Expressions

This paper presents an Italian database of acted emotional speech and facial expressions. New data regarding the transition between emotional states has been collected. Although acted expressions have intrinsic limitations related to their naturalness, this method can be convenient for speech and faces synthesis and within evaluation frameworks. Using motion capture is a good method to get precise information on data for playing back them on facial model and also to build specific animation engine. The procedure to adapt the recorded data to a MPEG-4 compliant facial animation model will be described.