Automatic Composition of Music with Methods of Computational Intelligence

Klinger R, Rudolph G (2007)
Transactions in Information Science and Applications 4(3): 508-515.

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Journal Article | Published | English
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Abstract
We describe our approach for the automatic composition of monophone melodies on a user given chord sequence. For this purpose we use Markov-chains and other methods to build some initial individuals. These are then optimised with evolutionary algorithms using automatically learned classifiers next to interactive evaluation as fitness functions.
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Klinger R, Rudolph G. Automatic Composition of Music with Methods of Computational Intelligence. Transactions in Information Science and Applications. 2007;4(3):508-515.
Klinger, R., & Rudolph, G. (2007). Automatic Composition of Music with Methods of Computational Intelligence. Transactions in Information Science and Applications, 4(3), 508-515.
Klinger, R., and Rudolph, G. (2007). Automatic Composition of Music with Methods of Computational Intelligence. Transactions in Information Science and Applications 4, 508-515.
Klinger, R., & Rudolph, G., 2007. Automatic Composition of Music with Methods of Computational Intelligence. Transactions in Information Science and Applications, 4(3), p 508-515.
R. Klinger and G. Rudolph, “Automatic Composition of Music with Methods of Computational Intelligence”, Transactions in Information Science and Applications, vol. 4, 2007, pp. 508-515.
Klinger, R., Rudolph, G.: Automatic Composition of Music with Methods of Computational Intelligence. Transactions in Information Science and Applications. 4, 508-515 (2007).
Klinger, Roman, and Rudolph, Günter. “Automatic Composition of Music with Methods of Computational Intelligence”. Transactions in Information Science and Applications 4.3 (2007): 508-515.
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