Improving the Outcome of a Probabilistic Logic Music System Generator by Using Perlin Noise

Nicholson, Colin J.; De Schreye, Danny; Sneyers, Jon

doi:10.4230/LIPIcs.ICLP.2011.231

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Improving the Outcome of a Probabilistic Logic Music System Generator by Using Perlin Noise

Authors Colin J. Nicholson, Danny De Schreye, Jon Sneyers

Part of: Volume: Technical Communications of the 27th International Conference on Logic Programming (ICLP'11) (ICLP 2011)
Part of: Series: Leibniz International Proceedings in Informatics (LIPIcs)
Part of: Conference: International Conference on Logic Programming (ICLP)
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
Publication Date: 2011-06-27

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LIPIcs.ICLP.2011.231.pdf

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Document Identifiers

DOI: 10.4230/LIPIcs.ICLP.2011.231
URN: urn:nbn:de:0030-drops-31651

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Keywords

Probabilistic logic
Music generation
Perlin noise

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Abstract

APOPCALEAPS is a logic-based music generation program that uses high level probabilistic rules. The music produced by APOPCALEAPS is controlled by parameters that can be customized by a user to create personalized songs. Perlin noise is a type of gradient noise algorithm which generates smooth and controllable variations of random numbers. This paper introduces the idea of using a Perlin noise algorithm on songs produced by APOPCALEAPS to alter their melody. The noise system modifies the song’s melody with noise values that fluctuate as measures change in a song. Songs with more notes and more elaborate differences between the notes are modified by the system more than simpler songs. The output of the system is a different but similar song. This research can be used for generation of music with structure where one would need to generate variants on a theme.

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Colin J. Nicholson, Danny De Schreye, and Jon Sneyers. Improving the Outcome of a Probabilistic Logic Music System Generator by Using Perlin Noise. In Technical Communications of the 27th International Conference on Logic Programming (ICLP'11). Leibniz International Proceedings in Informatics (LIPIcs), Volume 11, pp. 231-239, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011) https://doi.org/10.4230/LIPIcs.ICLP.2011.231

Author Details

Colin J. Nicholson

Danny De Schreye

Jon Sneyers

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