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dc.contributor.authorMarentakis, Georgios
dc.contributor.authorHôlzl, Josef
dc.date.accessioned2021-12-02T12:45:46Z
dc.date.available2021-12-02T12:45:46Z
dc.date.created2021-09-15T14:25:39Z
dc.date.issued2021
dc.identifier.citationMauro, D.A., Spagnol, S. & Valle, A. (Red.). (2021). Proceedings of the 18th Sound and Music Computing Conference. Axea sas/SMC Network.en_US
dc.identifier.isbn978-88-945415-4-0
dc.identifier.urihttps://hdl.handle.net/11250/2832583
dc.description.abstractPrincipal Component Analysis (PCA) has been often used for HRTF compression and individualization. However, there is significant variation in how the input matrix on which PCA is applied is constructed. Here, we study the effect of choices on the selection of independent variables, the domain in which impulse responses are represented, the HRTF database used, and possible smoothing on the compression efficiency and the reconstruction quality of the resulting PCA model. Several findings replicate well across different databases. Results point to a benefit for signal compared to space PCA and for using minimumphase HRIRs or HRTFs. Smoothing HRTFs leads to an increase in compression efficiency and a reduction in spectral distortion and using HRTFs with logarithmic magnitude leads to lower spectral distortion compared to linear.en_US
dc.language.isoengen_US
dc.publisherAxea sas/SMC Networken_US
dc.relation.ispartofProceedings of the 18th Sound and Music Computing Conference
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCompression efficiency and Signal Distortion of common PCA bases for HRTF Modellingen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder©2021 the Authors.en_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551en_US
dc.subject.nsiVDP::Humaniora: 000::Musikkvitenskap: 110en_US
dc.identifier.doi10.5281/zenodo.5113511
dc.identifier.cristin1934593
cristin.ispublishedtrue
cristin.fulltextoriginal


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