A generative representation for the evolution of jazz solos

Kjell Bäckman; Palle Dahlstedt

doi:10.1007/978-3-540-78761-7_40

A generative representation for the evolution of jazz solos

Kjell Bäckman^*, Palle Dahlstedt

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

4 Citations (Scopus)

Abstract

This paper describes a system developed to create computer based jazz improvisation solos. The generation of the improvisation material uses interactive evolution, based on a dual genetic representation: a basic melody line representation, with energy constraints ("rubber band") and a hierarchic structure of operators that processes the various parts of this basic melody. To be able to listen to and evaluate the result in a fair way, the computer generated solos have been imported into a musical environment to form a complete jazz composition. The focus of this paper is on the data representations developed for this specific type of music. This is the first published part of an ongoing research project in generative jazz, based on probabilistic and evolutionary strategies.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of pages	10
Volume	4974 LNCS
Publication date	2008
Pages	371-380
ISBN (Print)	3540787607, 9783540787600
DOIs	https://doi.org/10.1007/978-3-540-78761-7_40
Publication status	Published - 2008

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4974 LNCS
ISSN	0302-9743

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Bäckman, Kjell ; Dahlstedt, Palle. / A generative representation for the evolution of jazz solos. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4974 LNCS 2008. pp. 371-380 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4974 LNCS).

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title = "A generative representation for the evolution of jazz solos",

abstract = "This paper describes a system developed to create computer based jazz improvisation solos. The generation of the improvisation material uses interactive evolution, based on a dual genetic representation: a basic melody line representation, with energy constraints ({"}rubber band{"}) and a hierarchic structure of operators that processes the various parts of this basic melody. To be able to listen to and evaluate the result in a fair way, the computer generated solos have been imported into a musical environment to form a complete jazz composition. The focus of this paper is on the data representations developed for this specific type of music. This is the first published part of an ongoing research project in generative jazz, based on probabilistic and evolutionary strategies.",

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Bäckman, K & Dahlstedt, P 2008, A generative representation for the evolution of jazz solos. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4974 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4974 LNCS, pp. 371-380. https://doi.org/10.1007/978-3-540-78761-7_40

A generative representation for the evolution of jazz solos. / Bäckman, Kjell; Dahlstedt, Palle.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4974 LNCS 2008. p. 371-380 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4974 LNCS).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Bäckman K, Dahlstedt P. A generative representation for the evolution of jazz solos. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4974 LNCS. 2008. p. 371-380. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4974 LNCS). doi: 10.1007/978-3-540-78761-7_40

A generative representation for the evolution of jazz solos

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