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Bäckman, Kjell
Publications (5 of 5) Show all publications
Bäckman, K. (2013). Evolutionary Jazz Improvisation: Jazz Harmony and Solo Improvisation Created by Means of Evolutionary Algorithms with Automatic Fitness. Sport and Art, 1(3), 67-74
Open this publication in new window or tab >>Evolutionary Jazz Improvisation: Jazz Harmony and Solo Improvisation Created by Means of Evolutionary Algorithms with Automatic Fitness
2013 (English)In: Sport and Art, ISSN 2331-6195, E-ISSN 2331-6233, Vol. 1, no 3, p. 67-74Article in journal (Refereed) Published
Abstract [en]

This paper describes the Evolutionary Jazz Improvisation (EJI) system for creation of jazz harmony and jazz solo improvisations based on evolutionary algorithms with automatic evaluation. The evaluation function is implemented using score calculation based on specific events recognized in the chord progression and solo line, and alignment to different optimal intensity increase and relaxation curves. The evaluation function is based on the author’s solo analysis of 73 great masters’ solo characteristics and their techniques used for build-up of jazz solos. The results have been evaluated by our live jazz group and used in jam sessions, some of which have been recorded and made available for listening at the links given later.

Keywords
Jazz, Evolution, Jazz Harmony, Artificial Intelligence
National Category
Music
Research subject
SOCIAL SCIENCE, Informatics
Identifiers
urn:nbn:se:hv:diva-5733 (URN)
Note

10.13189/saj.2013.010302

Available from: 2013-11-14 Created: 2013-11-14 Last updated: 2020-11-23Bibliographically approved
Bäckman, K. (2012). Automatic fitness in generative jazz soloimprovisation. In: EIMAS 2012 Conference Proceedings: . Paper presented at EIMAS 2012 (pp. 1-10). Juiz de Fora, Brazil
Open this publication in new window or tab >>Automatic fitness in generative jazz soloimprovisation
2012 (English)In: EIMAS 2012 Conference Proceedings, Juiz de Fora, Brazil, 2012, p. 1-10Conference paper, Published paper (Refereed) [Artistic work]
Abstract [en]

Recent work by the author has revealed the need for an automatic fitness function in the evolutionary algorithm

for generation of jazz solos. A computer based automatic fitness function enables greater populations and a great

number of generations within a manageable time. This paper describes how the automatic fitness function is

implemented using score calculation based on specific events recognized in the solo line The evaluation function

is based on the author’s solo analysis of 73 great masters’ solo characteristics and their techniques used for buildup

of jazz solos.

Place, publisher, year, edition, pages
Juiz de Fora, Brazil: , 2012
Keywords
Evolution algorithm jazz
National Category
Other Engineering and Technologies
Research subject
ENGINEERING, Computer engineering
Identifiers
urn:nbn:se:hv:diva-4820 (URN)
Conference
EIMAS 2012
Available from: 2012-12-10 Created: 2012-11-23 Last updated: 2025-02-10Bibliographically approved
Bäckman, K. (Ed.). (2010). Ant Colony Optimization and Evolutionary Algorithms Applied to Jazz Solo Improvisation. Juiz de Fora: EIMAS
Open this publication in new window or tab >>Ant Colony Optimization and Evolutionary Algorithms Applied to Jazz Solo Improvisation
2010 (English)Conference proceedings (editor) (Other academic)
Abstract [en]

 

This paper describes an experiment of using a variant of the TSP (Traveling Salesman Problem) of ACO (Ant Colony Optimization) and automatic fitness in the evolutionary algorithm to create jazz improvisation solos. It is a sub-project of our overall EJI (Evolutionary Jazz Improvisation) project, where we try to explore the inner nature of jazz music and model jazz improvisation solos and jazz harmony in the computer by means of evolutionary algorithms, swarm theory, chaos theory, neural networks, memetics and other kinds of heuristics

Place, publisher, year, edition, pages
Juiz de Fora: EIMAS, 2010. p. 10
Keywords
jazz, improvisation, evolution, ACO, TSP
National Category
Musicology Information Systems
Research subject
SOCIAL SCIENCE, Informatics
Identifiers
urn:nbn:se:hv:diva-2785 (URN)
Available from: 2011-01-24 Created: 2010-10-28 Last updated: 2020-03-23Bibliographically approved
Bäckman, K. (2008). Automatic Fitness in generative jazzimprovisation. In: Proc. of the International Computer Music Conference (ICMC) 2008, Belfast, Northern Ireland, 2008.: . Paper presented at ICMC 2008, 24–29 August 2008,Belfast, Northern Ireland, SARC (pp. 1-). Belfast: ICMC
Open this publication in new window or tab >>Automatic Fitness in generative jazzimprovisation
2008 (English)In: Proc. of the International Computer Music Conference (ICMC) 2008, Belfast, Northern Ireland, 2008., Belfast: ICMC , 2008, p. 1--Conference paper, Published paper (Refereed)
Abstract [en]

Recent work by the author has revealed the need for an automatic fitness function in the evolutionary algorithm for generation of jazz solos. A computer based automatic fitness function enables greater populations and a great number of generations within a manageable time. This paper describes how the automatic fitness function is implemented using score calculation based on specific events recognized in the solo line and alignment to different optimal intensity curves.

Place, publisher, year, edition, pages
Belfast: ICMC, 2008
Keywords
Jazz improvisation
National Category
Musicology
Research subject
SOCIAL SCIENCE, Informatics
Identifiers
urn:nbn:se:hv:diva-3975 (URN)
Conference
ICMC 2008, 24–29 August 2008,Belfast, Northern Ireland, SARC
Available from: 2012-02-20 Created: 2012-01-10 Last updated: 2020-03-23Bibliographically approved
Bäckman, K. (2008). Evolutionary Jazz Harmony: A New Jazz Harmony System. In: Bogdan Filipič & Jurij Šilc (Ed.), BIOINSPIRED OPTIMIZATION METHODS AND THEIR APPLICATIONS: Proceedings of the Third International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2008. Paper presented at Third International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2008 (pp. 133-140). Ljubljana: Jožef Stefan Institute
Open this publication in new window or tab >>Evolutionary Jazz Harmony: A New Jazz Harmony System
2008 (English)In: BIOINSPIRED OPTIMIZATION METHODS AND THEIR APPLICATIONS: Proceedings of the Third International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2008 / [ed] Bogdan Filipič & Jurij Šilc, Ljubljana: Jožef Stefan Institute , 2008, p. 133-140Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Ljubljana: Jožef Stefan Institute, 2008
Keywords
Chord, Coloured chord, Harmonic spectrum, Evolutionary algorithm, MIDI note, Scale
National Category
Musicology
Research subject
SOCIAL SCIENCE, Informatics
Identifiers
urn:nbn:se:hv:diva-2966 (URN)978-961-264-002-6 (ISBN)
Conference
Third International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2008
Available from: 2010-12-29 Created: 2010-12-29 Last updated: 2020-03-23Bibliographically approved
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