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dc.contributor.authorKrymova, Ekaterina-
dc.contributor.authorNagathil, Anil-
dc.contributor.authorBelomestny, Denis-
dc.contributor.authorMartin, Rainer-
dc.date.accessioned2016-11-08T09:39:50Z-
dc.date.available2016-11-08T09:39:50Z-
dc.date.issued2016-
dc.identifier.urihttp://hdl.handle.net/2003/35319-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-17362-
dc.description.abstractIn 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.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;69, 2016en
dc.subject.ddc310-
dc.subject.ddc330-
dc.subject.ddc620-
dc.titleA new method for adaptive spectral complexity reduction of music signalsen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 823

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