Mr ADRIAN HAZZARD Adrian.Hazzard@nottingham.ac.uk
SENIOR RESEARCH FELLOW
Adaptive Musical Soundtracks: from in-game to on the street
Hazzard, Adrian; Greenhalgh, Chris
Authors
Professor CHRIS GREENHALGH CHRIS.GREENHALGH@NOTTINGHAM.AC.UK
PROFESSOR OF COMPUTER SCIENCE
Abstract
We describe the challenges of creating location-based adaptive musical soundtracks, which we try to address via the iterative development of daoplayer, a tool to create such media experiences. Daoplayer is broadly modelled on the functionality of computer game middleware, functionality we argue is missing from most tools freely available for location-based experiences. We chart the development progress and use in practice, identifying the emerging challenges and outlining our responses to these along the way. Our focus is broad, taking in technical concepts and infrastructure, in addition to the creative concerns of the composer. We reveal that our tool was largely successful in delivering fine grained ‘musical’ soundtracks, which on the one hand highlights the similarities between computer game soundtracks and location-based soundtracks, but on the other hand we note a number of key distinctions.
Citation
Hazzard, A., & Greenhalgh, C. (2019, September). Adaptive Musical Soundtracks: from in-game to on the street. Presented at Audio Mostly 2019, Nottingham, United kingdom
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | Audio Mostly 2019 |
Start Date | Sep 17, 2019 |
End Date | Sep 20, 2019 |
Acceptance Date | Aug 2, 2019 |
Online Publication Date | Sep 18, 2019 |
Publication Date | Sep 18, 2019 |
Deposit Date | Oct 27, 2019 |
Publisher | Association for Computing Machinery (ACM) |
Pages | 31-38 |
Book Title | AM'19: Proceedings of the 14th International Audio Mostly Conference: A Journey in Sound |
ISBN | 9781450372978 |
DOI | https://doi.org/10.1145/3356590.3356597 |
Public URL | https://nottingham-repository.worktribe.com/output/2972565 |
Related Public URLs | https://audiomostly.com/ |
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