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dc.contributor.authorShukla, Ren_US
dc.contributor.authorSteward, Ren_US
dc.contributor.authorRoginska, Aen_US
dc.contributor.authorSandler, Men_US
dc.date.accessioned2019-01-25T15:58:12Z
dc.date.available2018-05-17en_US
dc.date.issued2018en_US
dc.date.submitted2018-11-19T15:28:05.522Z
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/54952
dc.rightsThis is a pre-copyedited, author-produced version of an article accepted for publication in AES E-LIBRARY following peer review. The version of record is available http://www.aes.org/e-lib/online/browse.cfm?elib=19677
dc.titleUser selection of optimal HRTF sets via holistic comparative evaluationen_US
dc.typeConference Proceeding
dc.rights.holder© 2019 Audio Engineering Society
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000578247700011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notes6 monthsen_US
pubs.notesEmbargo is for six months from the online publication date by the Audio Engineering Society, which was 11 August 2018.en_US
pubs.publication-statusPublisheden_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderEPSRC and AHRC Centre for Doctoral Training in Media and Arts Technology::Engineering and Physical Sciences Research Councilen_US


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