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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.
Author (s): Sridhar, Rahulram; Tylka, Joseph G.; Choueiri, Edgar
Affiliation:
Princeton University, Princeton, NJ, USA
(See document for exact affiliation information.)
AES Convention: 143
Paper Number:357
Publication Date:
2017-10-06
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Session subject:
Posters—Part 1
Permalink: https://aes2.org/publications/elibrary-page/?id=19308
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Sridhar, Rahulram; Tylka, Joseph G.; Choueiri, Edgar; 2017; A Database of Head-Related Transfer Functions and Morphological Measurements [PDF]; Princeton University, Princeton, NJ, USA; Paper 357; Available from: https://aes2.org/publications/elibrary-page/?id=19308
Sridhar, Rahulram; Tylka, Joseph G.; Choueiri, Edgar; A Database of Head-Related Transfer Functions and Morphological Measurements [PDF]; Princeton University, Princeton, NJ, USA; Paper 357; 2017 Available: https://aes2.org/publications/elibrary-page/?id=19308