Elisabeth André

TL;DR: A basic standard acoustic parameter set for various areas of automatic voice analysis, such as paralinguistic or clinical speech analysis, is proposed and intended to provide a common baseline for evaluation of future research and eliminate differences caused by varying parameter sets or even different implementations of the same parameters.

TL;DR: A novel scheme of emotion-specific multilevel dichotomous classification (EMDC) is developed and compared with direct multiclass classification using the pLDA, with improved recognition accuracy of 95 percent and 70 percent for subject-dependent and subject-independent classification, respectively.

TL;DR: This paper discussed the most important stages of a fully implemented emotion recognition system including data analysis and classification, and used a music induction method which elicits natural emotional reactions from the subject.

TL;DR: The issues and available tools in three key areas of virtual human research: face-to-face conversation, emotions and personality, and human figure animation are overviewed.

TL;DR: The results of the study indicate that the data from the subjective measures support the so called persona effect for the technical information but not for non-technical information, and with regard to the objective measures, neither a positive nor a negative effect could be found.