3 accepted papers
Developing a robust emotion speech recognition (SER) system for human dialog is important in advancing conversational agent design. In this paper, we proposed a novel inference algorithm, a dialogical emotion decoding (DED) algorithm, that treats a dialog as a sequence and consecutively decode the e…
Studying behaviors of members during small group interaction provides objective insights in improving the efficiency of the decision making process in our daily working life. By introducing the use of the graph structure in modeling the natural inter-member conversational ties during such an interac…
Obtaining robust speech emotion recognition (SER) in scenarios of spoken interactions is critical to the developments of next generation human-machine interface. Previous research has largely focused on performing SER by modeling each utterance of the dialog in isolation without considering the tran…