Technical University of Munich, 2013. — 263 p.
Intelligent automatic human behavior analysis is an essential precondition for conversational agent systems that aim to enable natural, emotionally sensitive human-computer interaction. This thesis focuses on automatic verbal and non-verbal behavior analysis and introduces novel speech processing and machine learning architectures that are capable of inferring the spoken content as well as the affective state from the speech signal.