The Viking HRTF dataset

Simone Spagnol, Kristján Bjarki Purkhús, Sverrir Karl Björnsson, Rúnar Unnthórsson

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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    Resumé

    This paper describes the Viking HRTF dataset, a collection of head-related transfer functions (HRTFs) measured
    at the University of Iceland. The dataset includes fullsphere HRTFs measured on a dense spatial grid (1513 positions) with a KEMAR mannequin with 20 different artificial left pinnae attached, one at a time. The artificial pinnae
    were previously obtained through a custom molding procedure from 20 different lifelike human heads. The analyses
    of results reported here suggest that the collected acoustical measurements are robust, reproducible, and faithful
    to reference KEMAR HRTFs, and that material hardness
    has a negligible impact on the measurements compared to
    pinna shape. The purpose of the present collection, which
    is available for free download, is to provide accurate input data for future investigations on the relation between
    HRTFs and anthropometric data through machine learning
    techniques or other state-of-the-art methodologies.
    OriginalsprogEngelsk
    TitelProceedings of the 16th Sound & Music Computing Conference (SMC 2019)
    Antal sider6
    Udgivelses stedMalaga, Spain
    Publikationsdato28 maj 2019
    Sider55-60
    ISBN (Elektronisk)978-84-09-08518-7
    StatusUdgivet - 28 maj 2019
    Begivenhed16th Sound and music computing conference - University of Malaga (UMA). , Malaga, Spanien
    Varighed: 28 maj 201931 maj 2019
    http://smc2019.uma.es/index.html

    Konference

    Konference16th Sound and music computing conference
    LokationUniversity of Malaga (UMA).
    LandSpanien
    ByMalaga
    Periode28/05/201931/05/2019
    Internetadresse

    Fingerprint

    transfer function
    methodology

    Citer dette

    Spagnol, S., Purkhús, K. B., Björnsson, S. K., & Unnthórsson, R. (2019). The Viking HRTF dataset. I Proceedings of the 16th Sound & Music Computing Conference (SMC 2019) (s. 55-60). Malaga, Spain.
    Spagnol, Simone ; Purkhús, Kristján Bjarki ; Björnsson, Sverrir Karl ; Unnthórsson, Rúnar. / The Viking HRTF dataset. Proceedings of the 16th Sound & Music Computing Conference (SMC 2019). Malaga, Spain, 2019. s. 55-60
    @inproceedings{e17c6288f16e4f7fb574e7118e4eaf6e,
    title = "The Viking HRTF dataset",
    abstract = "This paper describes the Viking HRTF dataset, a collection of head-related transfer functions (HRTFs) measuredat the University of Iceland. The dataset includes fullsphere HRTFs measured on a dense spatial grid (1513 positions) with a KEMAR mannequin with 20 different artificial left pinnae attached, one at a time. The artificial pinnaewere previously obtained through a custom molding procedure from 20 different lifelike human heads. The analysesof results reported here suggest that the collected acoustical measurements are robust, reproducible, and faithfulto reference KEMAR HRTFs, and that material hardnesshas a negligible impact on the measurements compared topinna shape. The purpose of the present collection, whichis available for free download, is to provide accurate input data for future investigations on the relation betweenHRTFs and anthropometric data through machine learningtechniques or other state-of-the-art methodologies.",
    author = "Simone Spagnol and Purkh{\'u}s, {Kristj{\'a}n Bjarki} and Bj{\"o}rnsson, {Sverrir Karl} and R{\'u}nar Unnth{\'o}rsson",
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    month = "5",
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    booktitle = "Proceedings of the 16th Sound & Music Computing Conference (SMC 2019)",

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    Spagnol, S, Purkhús, KB, Björnsson, SK & Unnthórsson, R 2019, The Viking HRTF dataset. i Proceedings of the 16th Sound & Music Computing Conference (SMC 2019). Malaga, Spain, s. 55-60, 16th Sound and music computing conference, Malaga, Spanien, 28/05/2019.

    The Viking HRTF dataset. / Spagnol, Simone; Purkhús, Kristján Bjarki; Björnsson, Sverrir Karl; Unnthórsson, Rúnar.

    Proceedings of the 16th Sound & Music Computing Conference (SMC 2019). Malaga, Spain, 2019. s. 55-60.

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

    TY - GEN

    T1 - The Viking HRTF dataset

    AU - Spagnol, Simone

    AU - Purkhús, Kristján Bjarki

    AU - Björnsson, Sverrir Karl

    AU - Unnthórsson, Rúnar

    PY - 2019/5/28

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    N2 - This paper describes the Viking HRTF dataset, a collection of head-related transfer functions (HRTFs) measuredat the University of Iceland. The dataset includes fullsphere HRTFs measured on a dense spatial grid (1513 positions) with a KEMAR mannequin with 20 different artificial left pinnae attached, one at a time. The artificial pinnaewere previously obtained through a custom molding procedure from 20 different lifelike human heads. The analysesof results reported here suggest that the collected acoustical measurements are robust, reproducible, and faithfulto reference KEMAR HRTFs, and that material hardnesshas a negligible impact on the measurements compared topinna shape. The purpose of the present collection, whichis available for free download, is to provide accurate input data for future investigations on the relation betweenHRTFs and anthropometric data through machine learningtechniques or other state-of-the-art methodologies.

    AB - This paper describes the Viking HRTF dataset, a collection of head-related transfer functions (HRTFs) measuredat the University of Iceland. The dataset includes fullsphere HRTFs measured on a dense spatial grid (1513 positions) with a KEMAR mannequin with 20 different artificial left pinnae attached, one at a time. The artificial pinnaewere previously obtained through a custom molding procedure from 20 different lifelike human heads. The analysesof results reported here suggest that the collected acoustical measurements are robust, reproducible, and faithfulto reference KEMAR HRTFs, and that material hardnesshas a negligible impact on the measurements compared topinna shape. The purpose of the present collection, whichis available for free download, is to provide accurate input data for future investigations on the relation betweenHRTFs and anthropometric data through machine learningtechniques or other state-of-the-art methodologies.

    UR - http://smc2019.uma.es/articles/P1/P1_08_SMC2019_paper.pdf

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    Spagnol S, Purkhús KB, Björnsson SK, Unnthórsson R. The Viking HRTF dataset. I Proceedings of the 16th Sound & Music Computing Conference (SMC 2019). Malaga, Spain. 2019. s. 55-60