McKenzie, Thomas, Murphy, Damian Thomas orcid.org/0000-0002-6676-9459 and Kearney, Gavin Cyril orcid.org/0000-0002-0692-236X (2019) Interaural Level Difference Optimization of Binaural Ambisonic Rendering. Applied Sciences. 1226. ISSN 2076-3417
Abstract
Ambisonics is a spatial audio technique appropriate for dynamic binaural rendering due to its sound field rotation and transformation capabilities, which has made it popular for virtual reality applications. An issue with low-order Ambisonics is that interaural level differences (ILDs) are often reproduced with lower values when compared to head-related impulse responses (HRIRs), which reduces lateralization and spaciousness. This paper introduces a method of Ambisonic ILD Optimization (AIO), a pre-processing technique to bring the ILDs produced by virtual loudspeaker binaural Ambisonic rendering closer to those of HRIRs. AIO is evaluated objectively for Ambisonic orders up to fifth order versus a reference dataset of HRIRs for all locations on the sphere via estimated ILD and spectral difference, and perceptually through listening tests using both simple and complex scenes. Results conclude AIO produces an overall improvement for all tested orders of Ambisonics, though the benefits are greatest at first and second order.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 by the authors |
Keywords: | Ambisonics;,binaural Ambisonic rendering;,interaural level difference,virtual loudspeaker;,binaural synthesis |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Funding Information: | Funder Grant number EPSRC EP/M001210/1 |
Depositing User: | Pure (York) |
Date Deposited: | 26 Mar 2019 13:30 |
Last Modified: | 16 Oct 2024 15:34 |
Published Version: | https://doi.org/10.3390/app9061226 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.3390/app9061226 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:144047 |