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A method for measuring the motion-to-sound (M2S) latency of head-tracked binaural renderers is introduced for black-box devices in which it is not possible to modify internal processing blocks or access motion data estimates, such as Euler angles or six degrees of freedom (6DOF) coordinates. This method is useful for obtaining an objective metric related to perceptual quality of the end-to-end spatial audio rendering system. In addition, the ability to measure the black-box performance allows accurate benchmarking of spatial audio rendering systems that are highly optimized at the operating system level, such as audio renderers on mobile devices. The accuracy and robustness of the method are verified using a system with a known M2S latency and one system with several operating modes, and measurements are taken for several mobile binaural rendering systems of the same form factor.
Author (s): Tung, Alex;
Genovese, Andrea;
Davis, Graham;
Schevciw, Andre;
Affiliation:
Qualcomm Technologies, Inc.; Qualcomm Technologies, Inc.; Qualcomm Technologies, Inc.; Qualcomm Technologies, Inc.
(See document for exact affiliation information.)
Publication Date:
2024-08-05
Session subject:
Audio for Virtual and Augmented Reality
DOI:
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Tung, Alex; Genovese, Andrea; Davis, Graham; Schevciw, Andre; 2024; Motion to Sound Latency Measurement for Black-Box Spatial Audio Renderers [PDF]; Qualcomm Technologies, Inc.; Qualcomm Technologies, Inc.; Qualcomm Technologies, Inc.; Qualcomm Technologies, Inc.; Paper 30; Available from: https://aes.org/publications/elibrary-page/?id=22679
Tung, Alex; Genovese, Andrea; Davis, Graham; Schevciw, Andre; Motion to Sound Latency Measurement for Black-Box Spatial Audio Renderers [PDF]; Qualcomm Technologies, Inc.; Qualcomm Technologies, Inc.; Qualcomm Technologies, Inc.; Qualcomm Technologies, Inc.; Paper 30; 2024 Available: https://aes.org/publications/elibrary-page/?id=22679
@inproceedings{Tung2024motion,
title={{Motion to Sound Latency Measurement for Black-Box Spatial Audio Renderers}},
author={Tung, Alex and Genovese, Andrea and Davis, Graham and Schevciw, Andre},
year={2024},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 30; AES 2024 International Conference on Audio for Virtual and Augmented Reality; August 2024},
number={30},
organization={AES},
}
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