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JU. D. Mathew, L. Januszkiewicz, M. Pensko, M. Hertensteiner, and R. Audfray, "Quantifying Localization Potential using Interaural Transfer Function," Engineering Brief 648, (2021 October.). doi: JU. D. Mathew, L. Januszkiewicz, M. Pensko, M. Hertensteiner, and R. Audfray, "Quantifying Localization Potential using Interaural Transfer Function," Engineering Brief 648, (2021 October.). doi:
Abstract: The ability to generate appropriate auditory localization cues is an important requisite of spatial audio rendering technology that contributes to the plausibility of virtual sounds presented to a user, especially in XR applications (VR/AR/MR). Algorithmic approaches have been proposed to quantify such technologies’ ability to reproduce interaural level difference (ILD) cues through regression and statistical methods, providing a useful standardization and automation method to estimate the localization accuracy potential of a given spatial audio rendering engine. Previous approaches are extended to include interaural time difference (ITD) cues as part the perceptual transform through the use of the interaural transfer function (ITF). The extended algorithmic approach of quantifying localization accuracy may provide an adequate substitute for critical listening studies as an evaluation method. However, this approach has not yet been validated through comparison with localization listening studies. A review of listening tests are reviewed in conclusion to increase confidence in presented methods of algorithmically quantifying localization accuracy potential of a spatial audio rendering engine.

@article{mathew2021quantifying,
author={mathew, justin d and januszkiewicz, lukasz and pensko, maria and hertensteiner, mark and audfray, rémi},
journal={journal of the audio engineering society},
title={quantifying localization potential using interaural transfer function},
year={2021},
volume={},
number={},
pages={},
doi={},
month={october},} @article{mathew2021quantifying,
author={mathew, justin d and januszkiewicz, lukasz and pensko, maria and hertensteiner, mark and audfray, rémi},
journal={journal of the audio engineering society},
title={quantifying localization potential using interaural transfer function},
year={2021},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={the ability to generate appropriate auditory localization cues is an important requisite of spatial audio rendering technology that contributes to the plausibility of virtual sounds presented to a user, especially in xr applications (vr/ar/mr). algorithmic approaches have been proposed to quantify such technologies’ ability to reproduce interaural level difference (ild) cues through regression and statistical methods, providing a useful standardization and automation method to estimate the localization accuracy potential of a given spatial audio rendering engine. previous approaches are extended to include interaural time difference (itd) cues as part the perceptual transform through the use of the interaural transfer function (itf). the extended algorithmic approach of quantifying localization accuracy may provide an adequate substitute for critical listening studies as an evaluation method. however, this approach has not yet been validated through comparison with localization listening studies. a review of listening tests are reviewed in conclusion to increase confidence in presented methods of algorithmically quantifying localization accuracy potential of a spatial audio rendering engine.},}

TY - paper
TI - Quantifying Localization Potential using Interaural Transfer Function
SP - EP -
AU - Mathew, Justin D
AU - Januszkiewicz, Lukasz
AU - Pensko, Maria
AU - Hertensteiner, Mark
AU - Audfray, Rémi
PY - 2021
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2021 TY - paper
TI - Quantifying Localization Potential using Interaural Transfer Function
SP - EP -
AU - Mathew, Justin D
AU - Januszkiewicz, Lukasz
AU - Pensko, Maria
AU - Hertensteiner, Mark
AU - Audfray, Rémi
PY - 2021
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2021
AB - The ability to generate appropriate auditory localization cues is an important requisite of spatial audio rendering technology that contributes to the plausibility of virtual sounds presented to a user, especially in XR applications (VR/AR/MR). Algorithmic approaches have been proposed to quantify such technologies’ ability to reproduce interaural level difference (ILD) cues through regression and statistical methods, providing a useful standardization and automation method to estimate the localization accuracy potential of a given spatial audio rendering engine. Previous approaches are extended to include interaural time difference (ITD) cues as part the perceptual transform through the use of the interaural transfer function (ITF). The extended algorithmic approach of quantifying localization accuracy may provide an adequate substitute for critical listening studies as an evaluation method. However, this approach has not yet been validated through comparison with localization listening studies. A review of listening tests are reviewed in conclusion to increase confidence in presented methods of algorithmically quantifying localization accuracy potential of a spatial audio rendering engine.