Verification and validation of wave-based simulations of head-related transfer functions

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Botts, Jonathan, Dr., Applied Research in Acoustics LLC - ARIA, USA
dc.contributor.advisor Chobeau, Pierre, Dr.
dc.contributor.author Prepelita, Sebastian
dc.date.accessioned 2020-05-15T09:00:09Z
dc.date.available 2020-05-15T09:00:09Z
dc.date.issued 2020
dc.identifier.isbn 978-952-60-3851-3 (electronic)
dc.identifier.isbn 978-952-60-3850-6 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/44181
dc.description The public defense on 29th May 2020 at 16:00 (4 p.m.) will be organized via remote technology. Link: https://aalto.zoom.us/j/66896959534 Zoom Quick Guide: https://www.aalto.fi/en/services/zoom-quick-guide
dc.description.abstract The Head-Related Transfer Function (HRTF) represents a unique and perceptually-relevant encoding of the acoustical interactions of a sound field with a listener. If properly acquired, HRTFs can be used to synthesize a multitude of individualized sound scenes which are indistinguishable from their real counterparts. Thus, accurately predicting the HRTFs for an individual can open the door to a multitude of potentially disruptive technologies - virtual reality, augmented reality, and enhanced perception to name a few.  One major obstacle in such applications gaining traction is that HRTFs are highly individualized and are very difficult to acquire accurately. Wave-based predictions of HRTFs are often seen as a silver bullet to this problem: they can be generated in a relatively short time and are based on well-confirmed and accurate physics models. However, such computed predictions are only partly convincing since they are rarely reported to satisfactorily match measured HRTFs.  This thesis investigates the quality and reliability of wave-based HRTF simulations by focusing on the finite-difference time-domain (FDTD) method. The difficulties and caveats encountered in assessing the legitimacy of a model are presented and exemplified for the HRTF problem. Limitations in the boundary modeling inherent to the FDTD method are studied. HRTF verification and validation studies are conducted both in the far field and in the near-field.  Results generally reveal the complexity of obtaining accurate HRTFs - be it with measurements or simulations. They suggest the need for a comprehensive assessment of both numerical and measurement errors due to the increased sensitivity of the HRTF features to the orientation and morphology of an individual. Consequently, this research advocates for improved and more rigorous treatments of HRTF acquisition in order to achieve successful synthesis of more complex auditory scenes. en
dc.format.extent 142 + app. 94
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS en
dc.relation.ispartofseries 64/2020
dc.relation.haspart [Publication 1]: S. T. Prepelita, M. Geronazzo, F. Avanzini, L. Savioja. Influence of voxelization on finite difference time domain simulations of headrelated transfer functions. The Journal of the Acoustical Society of America, Vol. 139, 5, pp.2489-2504, May 2016. DOI: 10.1121/1.4947546
dc.relation.haspart [Publication 2]: S. T. Prepelita, J.Gomez Bolanos, M. Geronazzo, R. Mehra, L. Savioja. Pinna-related transfer functions and lossless wave equation using finite-difference methods: Verification and asymptotic solution. The Journal of the Acoustical Society of America, Vol. 146, 5, pp. 3629–3645, November 2019. DOI: 10.1121/1.5131245
dc.relation.haspart [Publication 3]: S. T. Prepelita, J.Gomez Bolanos, M. Geronazzo, R. Mehra, L. Savioja. Pinna-related transfer functions and lossless wave equation using finite-difference methods: Validation with measurements. Submitted to The Journal of the Acoustical Society of America, October 2019.
dc.relation.haspart [Publication 4]: S. T. Prepelita, J. Gomez Bolanos, V. Pulkki, L. Savioja, R. Mehra. Wave-based simulations of near-field head-related transfer functions: Magnitude verification and validation with laser-induced spark sources. Submitted to The Journal of the Acoustical Society of America, December 2019.
dc.subject.other Acoustics en
dc.title Verification and validation of wave-based simulations of head-related transfer functions en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Perustieteiden korkeakoulu fi
dc.contributor.school School of Science en
dc.contributor.department Tietotekniikan laitos fi
dc.contributor.department Department of Computer Science en
dc.subject.keyword finite-difference time-domain en
dc.subject.keyword FDTD en
dc.subject.keyword head-related transfer functions en
dc.subject.keyword HRTFs en
dc.subject.keyword verification and validation en
dc.subject.keyword V&V en
dc.identifier.urn URN:ISBN:978-952-60-3851-3
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (article-based) en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.contributor.supervisor Savioja, Lauri, Prof., Aalto University, Department of Computer Science, Finland
dc.opn Xiang, Ning, Prof., Rensselaer Polytechnic Institute, USA
dc.contributor.lab Virtual Acoustics en
dc.rev Mokhtari, Parham, Prof., Toyama Prefectural University, Japan
dc.rev Hornikx, Maarten, Prof., Eindhoven University of Technology, The Netherlands
dc.date.defence 2020-05-29
local.aalto.acrisexportstatus exported 2020-06-10_1242
local.aalto.formfolder 2020_05_15_klo_10_16
local.aalto.archive yes


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