Collins, Tom; Laney, Robin; Willis, Alistair and Garthwaite, Paul
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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 FrÃ©dÃ©ric 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, Computing and Technology > Mathematics and Statistics
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Tom Collins|
|Date Deposited:||16 Dec 2009 12:16|
|Last Modified:||25 Feb 2016 13:55|
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Using discovered, polyphonic patterns to filter computer-generated music. (deposited 16 Dec 2009 12:13)
- Using discovered, polyphonic patterns to filter computer-generated music. (deposited 16 Dec 2009 12:16) [Currently Displayed]
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