@inproceedings{f440d95ca5944dba9b9e1c0f939dfeeb,
title = "A database of head-related transfer function and morphological measurements",
abstract = "A database of head-related transfer function (HRTF) and morphological measurements of human subjects and mannequins is presented. Data-driven HRTF estimation techniques require large datasets of measured HRTFs and morphological data, but only a few such databases are freely available. This paper describes an on-going project to measure HRTFs and corresponding 3D morphological scans. For a given subject, 648 HRTFs are measured at a distance of 0.76 m in an anechoic chamber and 3D scans of the subject{\textquoteright}s head and upper torso are acquired using structured-light scanners. The HRTF data are stored in the standardized “SOFA format” (spatially-oriented format for acoustics) while scans are stored in the Polygon File Format. The database is freely available online.",
author = "Rahulram Sridhar and Tylka, {Joseph G.} and Choueiri, {Edgar Y.}",
note = "Publisher Copyright: {\textcopyright} 143rd Audio Engineering Society Convention 2017, AES 2017. All rights reserved.; 143rd Audio Engineering Society Convention 2017, AES 2017 ; Conference date: 18-10-2017 Through 20-10-2017",
year = "2017",
language = "English (US)",
series = "143rd Audio Engineering Society Convention 2017, AES 2017",
publisher = "Audio Engineering Society",
pages = "851--855",
booktitle = "143rd Audio Engineering Society Convention 2017, AES 2017",
address = "United States",
}