The hinterland of emotions: Facing the open-microphone challenge

Abstract

We first depict the challenge to address all non-prototypical varieties of emotional states signalled in speech in an open microphone setting, i. e. using all data recorded. In the remainder of the article, we illustrate promising strategies, using the FAU Aibo emotion corpus, by showing different degrees of classification performance for different degrees of prototypicality, and by elaborating on the use of ROC curves, classification confidences, and the use of correlation-based analyses.