Authors: Krymova, Ekaterina
Nagathil, Anil
Belomestny, Denis
Martin, Rainer
Title: A new method for adaptive spectral complexity reduction of music signals
Language (ISO): en
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.
Issue Date: 2016
Appears in Collections:Sonderforschungsbereich (SFB) 823

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