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dc.contributor.advisor© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.contributor.authorHogg, Aen_US
dc.contributor.authorJenkins, Men_US
dc.contributor.authorLiu, Hen_US
dc.contributor.authorSquires, Ien_US
dc.contributor.authorCooper, Sen_US
dc.contributor.authorPicinali, Len_US
dc.date.accessioned2024-03-19T08:33:21Z
dc.date.available2024-02-15en_US
dc.identifier.issn2329-9304en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/95501
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.ispartofIEEE/ACM Transactions on Audio, Speech and Language Processingen_US
dc.rights© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.titleHRTF Upsampling with a Generative Adversarial Network using a Gnomonic Equiangular Projectionen_US
dc.typeArticle
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
dcterms.dateAccepted2024-02-15en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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