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Adaptive time-frequency resolution for single channel sound source separation based on non-negative matrix factorization

dc.contributor.authorKirbiz, Serap
dc.contributor.authorSmaragdis, Paris
dc.date.accessioned2026-01-25T14:15:19Z
dc.date.issued2011-04-01
dc.description.abstractThis paper proposes an adaptive time-frequency resolution approach for the single channel source separation problem. Our aim is to improve the quality and intelligibility of the separated sources by adapting the time-frequency resolution of the analysis window to the characteristic of the signal under consideration. The results evaluated on a large test set show the improvements obtained by the proposed algorithm.
dc.description.urihttps://doi.org/10.1109/siu.2011.5929813
dc.description.urihttps://dx.doi.org/10.1109/siu.2011.5929813
dc.identifier.doi10.1109/siu.2011.5929813
dc.identifier.endpage967
dc.identifier.openairedoi_dedup___::9be4867d63a5dd1e6ef99b34285cb246
dc.identifier.startpage964
dc.identifier.urihttps://hdl.handle.net/11527/52493
dc.publisherIEEE
dc.relation.ispartof2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)
dc.titleAdaptive time-frequency resolution for single channel sound source separation based on non-negative matrix factorization
dc.typeArticle
dspace.entity.typePublication

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