The Open UniversitySkip to content
 

Using discovered, polyphonic patterns to filter computer-generated music

Collins, Tom; Laney, Robin; Willis, Alistair and Garthwaite, Paul (2010). Using discovered, polyphonic patterns to filter computer-generated music. In: Proceedings of the International Conference on Computational Creativity, 7-9 January 2010, Lisbon Portugal.

Warning

This is the latest version of this eprint.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (262Kb)
URL: http://creative-systems.dei.uc.pt/icccx/programme/...
Google Scholar: Look up in Google Scholar

Abstract

A metric for evaluating the creativity of a music-generating system is presented, the objective being to generate mazurka-style music that inherits salient patterns from an original excerpt by Frédéric Chopin. The metric acts as a filter within our overall system, causing rejection of generated passages that do not inherit salient patterns, until a generated passage survives. Over fifty iterations, the mean number of generations required until survival was 12.7, with standard deviation 13.2. In the interests of clarity and replicability, the system is described with reference to specific excerpts of music. Four concepts–Markov modelling for generation, pattern discovery, pattern quantification, and statistical testing–are presented quite distinctly, so that the reader might adopt (or ignore) each concept as they wish.

Item Type: Conference Item
Copyright Holders: 2010 The Open University
Keywords: creativity; metric; Markov; music; generation; pattern; discovery; Mann; Whitney; Wilcoxon; Chopin; mazurka;
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology > Mathematics and Statistics
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 19023
Depositing User: Tom Collins
Date Deposited: 16 Dec 2009 12:16
Last Modified: 26 Oct 2012 18:14
URI: http://oro.open.ac.uk/id/eprint/19023
Share this page:

Available Versions of this Item

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk