AN AUTOMATIC DESCRIPTION TOOL FOR TIME CONTOURS AND LONG-TERM AVERAGE VOICE FEATURES IN LARGE EMOTIONAL SPEECH DATABASES

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.