ITRW on Speech and Emotion September 5-7, 2000 Newcastle, Northern Ireland, UK

An automatic description tool for time-contours and long-term average voice features in large emotional speech databases

Gudrun Klasmeyer

FPSE, University of Geneva, Switzerland

Speech databases used in studies on emotional expression are often too small to represent a realistic survey on how humans express their emotions in spoken language. Large databases give a better survey, but with them acoustic analyses can hardly be performed manually. In consequence all those effects a trained phonetician might discover using acoustic or visual representations of the signals have to be defined in programs before any "automatic" measurement of these features can be carried out.

Full Paper

Bibliographic reference.  Klasmeyer, Gudrun (2000): "An automatic description tool for time-contours and long-term average voice features in large emotional speech databases", In SpeechEmotion-2000, 66-71.