Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
The focus of this paper is mental tension detection in speech to assist control the tension in day-to-day business such as conferences and operations in a call center. It is difficult to use classical techniques for mental tension detection in day-to-day business because those techniques require invasion body by electrodes or squirts and tied up with cables. In order to achieve non-invasive, non-contact and low-restriction method, this proposed technique uses acoustic features in speech. The technique uses the vocal tract model which represents the shape and the tightness of throat muscle. It is required to devide multilevel tensions into some degrees. In this paper, multiscale tensions are labeled by physiological monitoring such as electrodermal activity and heart rate.
