Automatic personality perception: Prediction of trait attribution based on prosodic features extended abstract

This paper proposes a prosody based approach for Automatic Personality Perception. Social psychology has shown that whenever we listen to a voice for the first time, we spontaneously and unconsciously attribute personality traits to the speaker. The attribution process is not necessarily accurate, but it is important because it shapes our behavior towards others. The experiments of this work are performed over a corpus of 640 speech samples (322 individuals in total) assessed in terms of speaker's personality traits by 11 judges. The results show that it is possible to predict some of the personality traits with accuracy higher than 70%. The effect of different prosodic features has also been analyzed and compared with findings in the psychological literature.