Chris Nash Chris.Nash@uwe.ac.uk
Senior Lecturer in Music Tech - Software Development
Track by track: Generative music installation for BBC Music Day
Nash, Chris
Authors
Contributors
Chris Nash
Rights Holder
Abstract
A crowd-driven generative music installation at Bristol Temple Meads Station, for BBC Music Day 2018. A live camera feed of the platform is used with machine learning/vision analysis to identify positions and disposition of people, trains, bicycles, luggage, etc., the data from which is used by the Manhattan program (Nash, 2014) to generate choral or popular music in real-time, played live to the public on the platform.
Digital Artefact Type | Other |
---|---|
Conference Name | BBC Music Day 2018 |
Start Date | Sep 28, 2018 |
End Date | Sep 28, 2018 |
Publication Date | Sep 28, 2018 |
Publicly Available Date | Jun 7, 2019 |
Keywords | generative music, crowd-driven music, algorithmic music, machine learning, machine vision |
Public URL | https://uwe-repository.worktribe.com/output/860147 |
Related Public URLs | http://nash.audio/manhattan/shared |
Files
Track by Track (shared).pdf
(2.5 Mb)
PDF
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