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dc.contributor.authorGelderblom, Femke Berre
dc.contributor.authorTronstad, Tron Vedul
dc.contributor.authorSvendsen, Torbjørn Karl
dc.contributor.authorMyrvoll, Tor Andre
dc.date.accessioned2024-07-10T08:18:34Z
dc.date.available2024-07-10T08:18:34Z
dc.date.created2023-11-30T14:03:25Z
dc.date.issued2023
dc.identifier.citationIEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP). 2023, 32 215-226.en_US
dc.identifier.issn2329-9290
dc.identifier.urihttps://hdl.handle.net/11250/3139612
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleOn the Predictive Power of Objective Intelligibility Metrics for the Subjective Performance of Deep Complex Convolutional Recurrent Speech Enhancement Networksen_US
dc.title.alternativeOn the Predictive Power of Objective Intelligibility Metrics for the Subjective Performance of Deep Complex Convolutional Recurrent Speech Enhancement Networksen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersion
dc.source.pagenumber215-226en_US
dc.source.volume32en_US
dc.source.journalIEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP)en_US
dc.identifier.doi10.1109/TASLP.2023.3329378
dc.identifier.cristin2206562
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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