Detection of Abrupt Spectral Changes Using Support Vector Machines. An application to Audio signal segmentation

M. Davy and S. Godsill

IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP 2002), May 13-17, 2002, Orlando, Florida.

Abstract: In this paper, we introduce an hybrid time­frequency/support vector machine algorithm for the detection of abrupt spectral changes. A stationarity index is derived from support vector novelty detection theory by using sub­images extracted from the time­frequency plane as feature vectors. Simulations show the efficiency of this new algorithm for audio signal segmentation, compared to another nonparametric detector.