Recognizing the factors that cause stress is a crucial step toward early detection of stressors.
In this regard, several studies make an effort to recognize individuals' stress using an …

Natural human-like human-robot interaction (NHL-HRI) requires the robot to be skilled both
at recognizing and producing many subtle human behaviors, often taken for granted by …

Recognizing speakers in emotional conditions remains a challenging issue, since speaker
states such as emotion affect the acoustic parameters used in typical speaker recognition …

Data sparseness is an ever dominating problem in automatic emotion recognition. Using
artificially generated speech for training or adapting models could potentially ease this …

Hedonic preference and contextual appropriateness are two general principles governing
humans' emotional expressions. People in general prefer perceiving and expressing …

We report on a multilingual comparison study on the effects of prosodic changes on
emotional speech. The study was conducted in France, Germany, Greece and Turkey …

Emotive audio-visual avatars are virtual computer agents which have the potential of
improving the quality of human-machine interaction and human-human communication …

The general goal of our research is to develop a personal computer assistant that persuades
children to adhere to a healthy lifestyle during daily activities at home. The assistant will be …

Speech emotion recognition is in the focus of research since several decades and has many
applications. One problem is sparse data for supervised learning. One way to tackle this …

The present study introduces a recording technique to maintain all dynamic information of
even full-blown emotional speech, and investigates the effect of emotion class, speaker, and …