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Algorithmic clustering of music
Rudi Cilibrasi, Paul M.B. Vitanyi and Ronald de Wolf
Computer Music Journal
Volume 2004,
Number To appear,
2004.
AbstractWe present a fully automatic method for music classification,
based only on compression of strings that represent the music
pieces. The method uses no background knowledge
about music whatsoever: It is completely
general and can, without change, be used in different areas
like linguistic classification and genomics. It is based on an ideal
theory of the information content in individual objects
(Kolmogorov complexity), information distance, and a
universal similarity metric. Experiments show that the method
distinguishes reasonably well between various musical genres
and can even cluster pieces by composer.
| EPrint Type: | Article |
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| Additional Information: | This paper generated wide media attention:
* Software to unzip identity of unknown composers, New Scientist, 12 April 2003, by Hazel Muir; see for local copy here. This is about our music clustering work reported in R. Cilibrasi, R. de Wolf, P. Vitanyi, Algorithmic clustering of music, Submitted. This work is also reported by
* Software sorts tunes, Technology Research News, April 23/30, 2003, by Kimberly Patch , see for local copy here. Also in Unzipping composers and musical style, by Fred "zAmboni" Locklear, Ars Technica 4/10/2003
* In France Classer musiques, langues, images, textes et genomes, Pour La Science, 317(March 2004), 98--103, by Jean-Paul Delahaye , (Pour la Science = Edition francaise de Scientific American); for the full article see a local copy here
* in the Netherlands:
o De afstand tussen Haendel en Hendrix, by Rob van den Berg, NRC-Handelsblad, O&W Bijlage, April 26, 2003; and
o Zip-programma ontmaskert componist, Intermediair, April 24, 2003.
* In Russia by Izvestia newspaper;
* In Italy by Neural: revista di cultura dei nuova media .hactivism .emusic .new media art no 20, glu 2003;
* In Europe Research Consortium News by ERCIM News No. 54, July 2003
* In Mexico by Cerebral Dynamics Bulletin;
* in Australia by ABC Radio in Newcastle;
* in Germany by Deutschland Funk, April 28, 2003.
* In Austria by Kurier Zeitung, May 6, 2003 |
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| Project Keyword: | Project Keyword UNSPECIFIED |
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| Subjects: | Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Multimodal Integration |
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| ID Code: | 129 |
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| Deposited By: | Paul Vitányi |
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| Deposited On: | 27 May 2004 |
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