Samuel Hunt Samuel.Hunt@uwe.ac.uk
Lecturer - Graduate Tutor
Samuel Hunt Samuel.Hunt@uwe.ac.uk
Lecturer - Graduate Tutor
Tom Mitchell Tom.Mitchell@uwe.ac.uk
Professor of Audio and Music Interaction
Chris Nash Chris.Nash@uwe.ac.uk
Senior Lecturer in Music Tech - Software Development
The ability for machines to compose novel, interesting and human-esque music is an important and recurring theme in the history of computer music. Modern staff notation remains the most common tool for music composition, and despite the emergence and abundance of highly flexible computer-based score editors, efforts to incorporate generative music techniques into such systems and subsequent composer workflow are seldom explored. This paper explores and develops both theoretical and practical models that address these concerns, and present these in the context of a software prototype. The paper is constructed as a work in progress, detailing the work so far and how future research will be conducted.
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | 2nd Conference on Computer Simulation of Musical Creativity |
Start Date | Sep 11, 2017 |
End Date | Sep 13, 2017 |
Acceptance Date | Sep 12, 2017 |
Publication Date | Sep 12, 2017 |
Deposit Date | Nov 10, 2017 |
Peer Reviewed | Peer Reviewed |
Keywords | interactive music systems, generative music, score editors |
Public URL | https://uwe-repository.worktribe.com/output/881299 |
Additional Information | Title of Conference or Conference Proceedings : 2nd Conference on Computer Simulation of Musical Creativity |
Contract Date | Nov 10, 2017 |
A cognitive dimensions approach for the design of an interactive generative score editor
(2018)
Presentation / Conference Contribution
How can music visualisation techniques reveal different perspectives on musical structure?
(2017)
Presentation / Conference Contribution
Automating algorithmic representations of musical structure using IGME: The Interactive Generative Music Environment
(2019)
Presentation / Conference Contribution
Continuation- Musical Note Prediction Through Analysis.
(-0001)
Report
Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment
(2020)
Presentation / Conference Contribution
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search