This paper proposes and evaluates an integrated method for real-time, head-tracked, 3D binaural audio with synthetic reverberation. Virtual vector base amplitude panning is used to position the sound source and spatialize outputs from a scattering delay network reverb algorithm running in parallel. A unique feature of this approach is its realization of interactive auralization using vector base amplitude panning and a scattering delay network, within acceptable levels of latency, at low computational cost. The rendering model also allows direct parameterization of room geometry and absorption characteristics. Varying levels of reverb complexity can be implemented, and these were evaluated against two distinct aspects of perceived sonic immersion. Outcomes from the evaluation provide benchmarks for how the approach could be deployed adaptively, to balance three real-time spatial audio objectives of envelopment, naturalness, and efficiency, within contrasting physical spaces.
Authors:
Yeoward, Christopher; Shukla, Rishi; Stewart, Rebecca; Sandler, Mark; Reiss, Joshua D.
Affiliations:
Centre for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK; Centre for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK; Dyson School of Design Engineering, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK; Centre for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK; Centre for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK(See document for exact affiliation information.)
JAES Volume 69 Issue 11 pp. 818-833; November 2021
Publication Date:
November 8, 2021
Download Now (859 KB)
This paper is Open Access which means you can download it for free.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.