Audio declipping performance enhancement via crossfading

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dc.contributor.authorZáviška, Pavelcs
dc.contributor.authorRajmic, Pavelcs
dc.contributor.authorMokrý, Ondřejcs
dc.coverage.issue1cs
dc.coverage.volume192cs
dc.date.accessioned2021-12-07T11:54:01Z
dc.date.available2021-12-07T11:54:01Z
dc.date.issued2021-10-27cs
dc.description.abstractSome audio declipping methods produce waveforms that do not fully respect the actual process of clipping and allow a deviation on the reliable samples. This article reports what effect on perception it has if the output of such “inconsistent” methods is pushed towards “consistent” solutions by postprocessing. We first propose a simple sample replacement method, then we identify its main weaknesses and propose an improved variant. The experiments show that the vast majority of inconsistent declipping methods significantly benefit from the proposed approach in terms of objective perceptual metrics. In particular, we show that the SS PEW method based on social sparsity combined with the proposed method performs comparable to top methods from the consistent class, but at a computational cost of one order of magnitude lower.en
dc.formattextcs
dc.format.extent1-5cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationSIGNAL PROCESSING. 2021, vol. 192, issue 1, p. 1-5.en
dc.identifier.doi10.1016/j.sigpro.2021.108365cs
dc.identifier.issn0165-1684cs
dc.identifier.other172815cs
dc.identifier.urihttp://hdl.handle.net/11012/203082
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofSIGNAL PROCESSINGcs
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0165168421004023cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0165-1684/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectclippingen
dc.subjectcrossfadeen
dc.subjectdeclippingen
dc.subjectoptimizationen
dc.subjectsparsityen
dc.subjectreliable samplesen
dc.titleAudio declipping performance enhancement via crossfadingen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-172815en
sync.item.dbtypeVAVen
sync.item.insts2022.02.01 16:54:10en
sync.item.modts2022.02.01 16:14:25en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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