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A framework is presented that employs the space-time coherence properties of acoustic wavefields to compute features corresponding to listener percepts in binaural localization. The model employs a short-time windowed cross-correlator to compute a sequence of interaural time differences (ITDs) from the binaurally-sampled acoustic wavefield. The centroid of the distribution of this sequence of measurements indicates the location of the virtual acoustic source and the width determines the perceived spatial extent of the source. The framework provides a quantitative method to objectively assess the performance of various free-space and headphone-based spatial audio rendering schemes and thus may serve as a useful tool for the analysis and design of spatial audio experiences in VR/AR and other spatial audio systems.
Author (s): Bocko, Mark F.; Crawford, Steven; Heilemann, Michael
Affiliation:
University of Rochester, Rochester, NY, USA
(See document for exact affiliation information.)
AES Convention: 145
Paper Number:10127
Publication Date:
2018-10-06
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Session subject:
Spatial Audio-Part 2 (Evaluation)
Permalink: https://aes2.org/publications/elibrary-page/?id=19853
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Bocko, Mark F.; Crawford, Steven; Heilemann, Michael; 2018; Prediction of Binaural Lateralization Percepts from the Coherence Properties of the Acoustic Wavefield [PDF]; University of Rochester, Rochester, NY, USA; Paper 10127; Available from: https://aes2.org/publications/elibrary-page/?id=19853
Bocko, Mark F.; Crawford, Steven; Heilemann, Michael; Prediction of Binaural Lateralization Percepts from the Coherence Properties of the Acoustic Wavefield [PDF]; University of Rochester, Rochester, NY, USA; Paper 10127; 2018 Available: https://aes2.org/publications/elibrary-page/?id=19853
@article{bocko2018prediction,
author={bocko mark f. and crawford steven and heilemann michael},
journal={journal of the audio engineering society},
title={prediction of binaural lateralization percepts from the coherence properties of the acoustic wavefield},
year={2018},
number={10127},
month={october},}