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On high resolution head-related transfer function measurements: An efficient sampling scheme

Zhang, Wen; Zhang, Mengqiu (Karan); Kennedy, Rodney; Abhayapala, Thushara

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This paper deals with two important questions associated with HRTF measurement: 1) "what is the required angular resolution?," and 2) "what is the most suitable sampling scheme?." The paper shows that a well-defined finite number of spherical harmonics can capture the head-related transfer function (HRTF) spatial variations in sufficient detail, which is defined as the HRTF spatial dimensionality. For the 20-kHz audible frequency range, the value of the dimensionality means a high-directional...[Show more]

dc.contributor.authorZhang, Wen
dc.contributor.authorZhang, Mengqiu (Karan)
dc.contributor.authorKennedy, Rodney
dc.contributor.authorAbhayapala, Thushara
dc.date.accessioned2015-12-10T23:09:58Z
dc.identifier.issn1558-7916
dc.identifier.urihttp://hdl.handle.net/1885/63518
dc.description.abstractThis paper deals with two important questions associated with HRTF measurement: 1) "what is the required angular resolution?," and 2) "what is the most suitable sampling scheme?." The paper shows that a well-defined finite number of spherical harmonics can capture the head-related transfer function (HRTF) spatial variations in sufficient detail, which is defined as the HRTF spatial dimensionality. For the 20-kHz audible frequency range, the value of the dimensionality means a high-directional resolution HRTF measurement is required. Considering such a high-resolution measurement, a number of sampling criteria have been identified from both mechanical setup and data processing aspects. Different sampling candidates are then compared to demonstrate that the best method which satisfies all requirements is the class termed as IGLOO. A fast spherical harmonic transform algorithm based on the IGLOO scheme is developed to accelerate the high-resolution data analysis. The proposed method is validated through simulation and experimental data acquired from a KEMAR mannequin.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Audio, Speech, and Language Processing
dc.subjectKeywords: Angular resolution; Audible frequency range; Efficient sampling; Experimental data; Finite number; Head related transfer function; High resolution; High-resolution measurements; sampling scheme; Sampling schemes; Spatial dimensionalities; Spatial variatio Angular resolution; head-related transfer function (HRTF) measurement; sampling scheme; spatial dimensionality
dc.titleOn high resolution head-related transfer function measurements: An efficient sampling scheme
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume20
dc.date.issued2012
local.identifier.absfor090609 - Signal Processing
local.identifier.ariespublicationu4334215xPUB816
local.type.statusPublished Version
local.contributor.affiliationZhang, Wen, CSIRO
local.contributor.affiliationZhang, Mengqiu (Karan), College of Engineering and Computer Science, ANU
local.contributor.affiliationKennedy, Rodney, College of Engineering and Computer Science, ANU
local.contributor.affiliationAbhayapala, Thushara, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage575
local.bibliographicCitation.lastpage584
local.identifier.doi10.1109/TASL.2011.2162404
local.identifier.absseo970109 - Expanding Knowledge in Engineering
dc.date.updated2016-02-24T11:03:16Z
local.identifier.scopusID2-s2.0-83655190861
local.identifier.thomsonID000299525800020
CollectionsANU Research Publications

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