A new method for adaptive spectral complexity reduction of music signals

Abstract

In this discussion paper we present a novel unsupervised segmentation procedure for music signals which relies on an explained variance criterion in the eigenspace of the constant-Q spectral domain. The procedure is used in the context of a spectral complexity reduction method which mitigates effects of cochlear hearing loss. It is compared to a segmentation based on equidistant boundaries. The results demonstrate that the proposed segmentation procedure gives an improvement in terms of signal- to-artefacts ratio in comparison to a segmentation based on equidistant boundaries.