Nathan Renney Nathan.Renney@uwe.ac.uk
Lecturer in Computer Science
Return to temperament (In digital systems)
Renney, Nathan; Gaster, Benedict; Mitchell, Tom
Authors
Benedict Gaster Benedict.Gaster@uwe.ac.uk
Associate Professor in Physical Computing
Tom Mitchell Tom.Mitchell@uwe.ac.uk
Professor of Audio and Music Interaction
Contributors
Samuel Hunt Samuel.Hunt@uwe.ac.uk
Editor
Abstract
Considering the generation of musical tunings, it is reasonable to expect that the many constructs contained in Functional programming languages may provide useful tools for exploring both conventional and new tunings. In this paper we present a number of approaches for manipulating tunings using basic mathematics. While this provides a simple foundation for describing temperament, it is fundamental enough to support a variety of approaches and further, allows the unbounded description of arbitrary tunings. It is expected that this notion will be useful in defining tunings, and by extension scales, for Digital Musical Instruments. This breaks down the physical barrier that has limited the likes of just intonations from having practical applications in the performance setting. It also enables composers to explore a variety of non traditional temperaments rapidly, without having to manually tune each note.
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | Audio Mostly |
Start Date | Sep 12, 2018 |
End Date | Sep 14, 2018 |
Acceptance Date | Jun 28, 2018 |
Publication Date | Jan 1, 2018 |
Deposit Date | Aug 22, 2018 |
Publicly Available Date | Aug 23, 2018 |
Peer Reviewed | Peer Reviewed |
ISBN | 9781450366090 |
Keywords | functional, programming, temperament, tuning |
Public URL | https://uwe-repository.worktribe.com/output/875681 |
Additional Information | Title of Conference or Conference Proceedings : Audio Mostly |
Contract Date | Aug 22, 2018 |
Files
ReturnToTemperament(InDigitalSystems).pdf
(509 Kb)
PDF
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