C. Miller, J. Juras, A. F. Genovese, and A. Roginska, “Interaural Distances in Existing HRIR Repositories,” in Proc. AES Conference: 2016 AES International Conference on Headphone Technology, Aug. 2016, Paper 2-3. [Online]. Available: https://aes.org/publications/elibrary-page/?id=18357
Miller C, Juras J, Genovese AF, Roginska A. Interaural Distances in Existing HRIR Repositories. In: AES Conference: 2016 AES International Conference on Headphone Technology. Audio Engineering Society; 2016. Paper 2-3. Available from: https://aes.org/publications/elibrary-page/?id=18357
@inproceedings{Miller2016_18357,
author = {Miller, Chris and Juras, Jordan and Genovese, Andrea F. and Roginska, Agnieszka},
title = {{Interaural Distances in Existing HRIR Repositories}},
booktitle = {AES Conference: 2016 AES International Conference on Headphone Technology},
note = {Paper 2-3},
year = {2016},
month = aug,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=18357}
}
TY - CPAPER
TI - Interaural Distances in Existing HRIR Repositories
AU - Miller, Chris
AU - Juras, Jordan
AU - Genovese, Andrea F.
AU - Roginska, Agnieszka
T2 - AES Conference: 2016 AES International Conference on Headphone Technology
M1 - Paper 2-3
PY - 2016
DA - 2016/08/06
UR - https://aes.org/publications/elibrary-page/?id=18357
PB - Audio Engineering Society
LA - en
AB - With the recent development of low-cost and efficient methods for generating individualized Interaural Time Differences (ITDs), this paper investigates the distribution of interaural distances among certain populations in order provide a framework for improving the performance of individualized binaural audio systems across a wider range of head morphologies. Interaural distances are extracted from the publicly available LISTEN and CIPIC spatial audio databases in order to generate distributions across subjects, and from the MARL-NYU database in order to investigate measurement stability across testing sessions. The interaural difference is shown to be a means to measure the magnitude of an individual’s set of ITDs. Furthermore, the constraints introduced on the precision of measured ITDs by limited sampling rates across all three datasets are explored, and the authors motivate the use of higher sampling rates in the development of spatial audio databases.
ER -