8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Classifying Subject Ratings of Emotional Speech Using Acoustic Features

Jackson Liscombe, Jennifer Venditti, Julia Hirschberg

Columbia University, USA

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.

Full Paper

Bibliographic reference.  Liscombe, Jackson / Venditti, Jennifer / Hirschberg, Julia (2003): "Classifying subject ratings of emotional speech using acoustic features", In EUROSPEECH-2003, 725-728.