Automated emotion state tracking is a crucial element in the computational study of human
communication behaviors. It is important to design robust and reliable emotion recognition
systems that are suitable for real-world applications both to enhance analytical abilities to
support human decision making and to design human–machine interfaces that facilitate
efficient communication. We introduce a hierarchical computational structure to recognize
emotions. The proposed structure maps an input speech utterance into one of the multiple …