Creating the Sydney York morphological and acoustic recordings of ears database

TY - CONF

T1 - Creating the Sydney York morphological and acoustic recordings of ears database

AU - Jin, Craig

AU - Guillon, Pierre

AU - Zolfaghari, Reza

AU - Epain, Nicolas

AU - van Schaik, Andre

AU - Tew, Anthony I.

AU - Hetherington, Carl

AU - Thorpe, Jonathan

PY - 2012/7/9

Y1 - 2012/7/9

N2 - This paper introduces the process for creating the Sydney York Morphological and Acoustic Recordings of Ears (SYMARE) database. The SYMARE database supports research exploring the relationship between the morphology of human outer ears and their acoustic filtering properties - a relationship that is viewed by many as holding the key to human spatial hearing and the future of 3D personal audio. The SYMARE database is comprised of acoustically measured head-related impulse responses for 60 listeners, multiple high-resolution surface mesh models (upper torso, head and ears) for these listeners obtained from magnetic resonance imaging (MRI) data, and the corresonding simulated HRIR data for these listeners generated using the Fast Multipole Boundary Element Method (FM-BEM). In this work, we compare acoustically measured HRIR data for ten listeners with the listeners’ corresponding simulated HRIR data generated using the FM-BEM.

AB - This paper introduces the process for creating the Sydney York Morphological and Acoustic Recordings of Ears (SYMARE) database. The SYMARE database supports research exploring the relationship between the morphology of human outer ears and their acoustic filtering properties - a relationship that is viewed by many as holding the key to human spatial hearing and the future of 3D personal audio. The SYMARE database is comprised of acoustically measured head-related impulse responses for 60 listeners, multiple high-resolution surface mesh models (upper torso, head and ears) for these listeners obtained from magnetic resonance imaging (MRI) data, and the corresonding simulated HRIR data for these listeners generated using the Fast Multipole Boundary Element Method (FM-BEM). In this work, we compare acoustically measured HRIR data for ten listeners with the listeners’ corresponding simulated HRIR data generated using the FM-BEM.

KW - head-related transfer function, 3D audio

UR - http://www.scopus.com/inward/record.url?scp=84868133038&partnerID=8YFLogxK

M3 - Paper

T2 - IEEE International Conference on Multimedia & Expo

Y2 - 9 July 2012 through 13 July 2012

ER -