12:00, 25 Sep 1996, WeH 7220

		    Recognizing Emotion in Speech
			    Frank Dellaert

Paper: download from http://www.cs.cmu.edu/~dellaert/publications.html

Abstract: This paper explores several statistical pattern recognition
techniques to classify utterances according to their emotional
content. We have recorded a corpus containing emotional speech with
over a 1000 utterances from different speakers. We present a new
method of extracting prosodic features from speech, based on a
smoothing spline approximation of the pitch contour. To make maximal
use of the limited amount of training data available, we introduce a
novel pattern recognition technique: majority voting of subspace
specialists. Using this technique, we obtain classification
performance that is close to human performance on the task.