Classifying Subject Ratings of Emotional Speech Using Acoustic Features

This paper presents results from a study examining emotional speech using acoustic features and their use in automatic machine learning classification. In addition, we propose a classification scheme for the labeling of emotions on continuous scales. Our findings support those of previous research as well as indicate possible future directions utilizing spectral tilt and pitch contour to distinguish emotions in the valence dimension.