A new method for adaptive spectral complexity reduction of music signals

dc.contributor.author	Krymova, Ekaterina
dc.contributor.author	Nagathil, Anil
dc.contributor.author	Belomestny, Denis
dc.contributor.author	Martin, Rainer
dc.date.accessioned	2016-11-08T09:39:50Z
dc.date.available	2016-11-08T09:39:50Z
dc.date.issued	2016
dc.description.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.	en
dc.identifier.uri	http://hdl.handle.net/2003/35319
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-17362
dc.language.iso	en	de
dc.relation.ispartofseries	Discussion Paper / SFB823;69, 2016	en
dc.subject.ddc	310
dc.subject.ddc	330
dc.subject.ddc	620
dc.title	A new method for adaptive spectral complexity reduction of music signals	en
dc.type	Text	de
dc.type.publicationtype	workingPaper	de
dcterms.accessRights	open access

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