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dc.date.accessioned2013-11-18T08:54:40Z
dc.date.available2013-11-18T08:54:40Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10852/37665
dc.description.abstractSpectral flux is usually measured with the FFT, but here a constant-Q IIR filterbank implementation is proposed. This leads to a relatively efficient sliding feature extractor with the benefit of keeping the time resolution of the output as high as it is in the input signal. Several applications are considered, such as estimation of sensory dissonance, uses in sound synthesis, adaptive effects processing and visualisation in recurrence plots. A novel feature called second order flux is also introduced.<br><br> Proceedings of the 9th Sound and Music Computing Conference, Copenhagen, Denmark, p.419-425 (2012)<br><br> Copyright: 2012 Risto Holopainen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.language.isoenen_US
dc.rightsAttribution 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.titleThe Constant-Q Iir Filterbank Approach To Spectral Fluxen_US
dc.typeChapteren_US
dc.creator.authorHolopainen, Risto
dc.identifier.startpage419
dc.identifier.endpage425
dc.identifier.urnURN:NBN:no-39604
dc.type.documentBokkapittelen_US
dc.type.peerreviewedPeer reviewed
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/37665/1/CQ_Flux_smc2012.pdf
dc.type.versionPublishedVersion
cristin.btitleProceedings of the 9th Sound and Music Computing Conference


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