Abstract
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.
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.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 16th Sound & Music Computing Conference (SMC 2019) |
| Antal sider | 6 |
| Udgivelsessted | Malaga, Spain |
| Forlag | Sound and Music Computing Network |
| Publikationsdato | 28 maj 2019 |
| Sider | 55-60 |
| ISBN (Elektronisk) | 978-84-09-08518-7 |
| Status | Udgivet - 28 maj 2019 |
| Begivenhed | 16th Sound and music computing conference - University of Malaga (UMA). , Malaga, Spanien Varighed: 28 maj 2019 → 31 maj 2019 http://smc2019.uma.es/index.html |
Konference
| Konference | 16th Sound and music computing conference |
|---|---|
| Lokation | University of Malaga (UMA). |
| Land/Område | Spanien |
| By | Malaga |
| Periode | 28/05/2019 → 31/05/2019 |
| Internetadresse |
| Navn | Proceedings of the Sound and Music Computing Conference |
|---|---|
| ISSN | 2518-3672 |