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’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.

Authors: Sridhar, Rahulram; Tylka, Joseph G.; Choueiri, Edgar
Affiliation: Princeton University, Princeton, NJ, USA
AES Convention: 143 (October 2017) eBrief:357
Publication Date: October 8, 2017 Import into BibTeX
Subject: Posters—Part 1
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=19308

Download Now (936 KB)

This paper is Open Access which means you can download it for free.

Learn more about the AES E-Library

The Engineering Briefs at this Convention were selected on the basis of a submitted synopsis, ensuring that they are of interest to AES members, and are not overly commercial. These briefs have been reproduced from the authors' advance manuscripts, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for their contents. Paper copies are not available, but any member can freely access these briefs. Members are encouraged to provide comments that enhance their usefulness.

Start a discussion about this paper!