Matthew Barnard
Nightports at Hull Minster: Physical, Hybrid and Virtualized Live Loudspeaker Array Spatialization of Electronic Music Performance
Barnard, Matthew; Martin, Adam; Slater, Mark
Abstract
'Nightports at Hull Minster' is a musical project that harnesses spatialization techniques to present music composed of the sounds of Hull Minster, UK, in both the location itself and alternative performance spaces, whilst still expressing the spatiality of the location. The project involves a live electronic music performance by Nightports (The Leaf Label), using only sounds recorded in the Minster itself, spatialized in real-time by another performer across a 25-loudspeaker array. In total, three variant approaches are detailed: a physical acousmonium in-situ; a hybrid acousmonium and virtualmonium; and headphone-targeted virtualizations. To achieve virtualization, spatial room impulse response measurements were taken across the diffusion array to capture the characteristics of the loudspeaker arrangement implemented in the Minster. A scalable and adaptable spatialization system was devised to realize the different iterations and is detailed in this paper, alongside observations on the performative ramifications, compositional preoccupations, and potential developments of the project.
Citation
Barnard, M., Martin, A., & Slater, M. (2023, September). Nightports at Hull Minster: Physical, Hybrid and Virtualized Live Loudspeaker Array Spatialization of Electronic Music Performance. Presented at 2023 Immersive and 3D Audio: from Architecture to Automotive (I3DA 2023), Bologna, Italy
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2023 Immersive and 3D Audio: from Architecture to Automotive (I3DA 2023) |
Start Date | Sep 5, 2023 |
End Date | Sep 7, 2023 |
Acceptance Date | Apr 22, 2023 |
Online Publication Date | Oct 23, 2023 |
Publication Date | 2023 |
Deposit Date | Feb 28, 2024 |
Publicly Available Date | Oct 3, 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
ISBN | 9798350311044 |
DOI | https://doi.org/10.1109/I3DA57090.2023.10289518 |
Public URL | https://hull-repository.worktribe.com/output/4470359 |
Publisher URL | https://ieeexplore.ieee.org/document/10289518 |
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© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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