Application of an island model genetic algorithm for a multi-track music segmentation problem

Brigitte Rafael; Michael Affenzeller; Stefan Wagner

doi:10.1007/978-3-642-36955-1_2

Application of an island model genetic algorithm for a multi-track music segmentation problem

Brigitte Rafael, Michael Affenzeller, Stefan Wagner

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Genetic algorithms have been introduced to the field of media segmentation including image, video, and also music segmentation since segmentation problems usually have complex search spaces. Music segmentation can give insight into the structure of a music composition so it is an important task in music information retrieval (MIR). Past approaches have applied genetic algorithms to achieve the segmentation of a single music track. However, music compositions usually contain multiple tracks so single track segmentations might miss important global structure information. This paper focuses on the introduction of an island model genetic algorithm to achieve single track segmentations with respect to the global structure of the composition.

Original language	English
Title of host publication	Evolutionary and Biologically Inspired Music, Sound, Art and Design - Second International Conference, EvoMUSART 2013, Proceedings
Pages	13-24
Number of pages	12
Volume	7834
Edition	1
DOIs	https://doi.org/10.1007/978-3-642-36955-1_2
Publication status	Published - 2013
Event	2nd International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2013 - Vienna, Austria Duration: 3 Apr 2013 → 5 Apr 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7834 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2013
Country/Territory	Austria
City	Vienna
Period	03.04.2013 → 05.04.2013

Keywords

Genetic Algorithms
Music Segmentation

Access to Document

10.1007/978-3-642-36955-1_2

Cite this

Rafael, B., Affenzeller, M., & Wagner, S. (2013). Application of an island model genetic algorithm for a multi-track music segmentation problem. In Evolutionary and Biologically Inspired Music, Sound, Art and Design - Second International Conference, EvoMUSART 2013, Proceedings (1 ed., Vol. 7834, pp. 13-24). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7834 LNCS). https://doi.org/10.1007/978-3-642-36955-1_2

Rafael, Brigitte ; Affenzeller, Michael ; Wagner, Stefan. / Application of an island model genetic algorithm for a multi-track music segmentation problem. Evolutionary and Biologically Inspired Music, Sound, Art and Design - Second International Conference, EvoMUSART 2013, Proceedings. Vol. 7834 1. ed. 2013. pp. 13-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Application of an island model genetic algorithm for a multi-track music segmentation problem",

abstract = "Genetic algorithms have been introduced to the field of media segmentation including image, video, and also music segmentation since segmentation problems usually have complex search spaces. Music segmentation can give insight into the structure of a music composition so it is an important task in music information retrieval (MIR). Past approaches have applied genetic algorithms to achieve the segmentation of a single music track. However, music compositions usually contain multiple tracks so single track segmentations might miss important global structure information. This paper focuses on the introduction of an island model genetic algorithm to achieve single track segmentations with respect to the global structure of the composition.",

keywords = "Genetic Algorithms, Music Segmentation, Genetic Algorithms, Music Segmentation",

author = "Brigitte Rafael and Michael Affenzeller and Stefan Wagner",

note = "Copyright: Copyright 2013 Elsevier B.V., All rights reserved.; 2nd International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2013 ; Conference date: 03-04-2013 Through 05-04-2013",

year = "2013",

doi = "10.1007/978-3-642-36955-1_2",

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isbn = "9783642369544",

volume = "7834",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Rafael, B, Affenzeller, M & Wagner, S 2013, Application of an island model genetic algorithm for a multi-track music segmentation problem. in Evolutionary and Biologically Inspired Music, Sound, Art and Design - Second International Conference, EvoMUSART 2013, Proceedings. 1 edn, vol. 7834, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7834 LNCS, pp. 13-24, 2nd International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2013, Vienna, Austria, 03.04.2013. https://doi.org/10.1007/978-3-642-36955-1_2

Application of an island model genetic algorithm for a multi-track music segmentation problem. / Rafael, Brigitte; Affenzeller, Michael ; Wagner, Stefan.
Evolutionary and Biologically Inspired Music, Sound, Art and Design - Second International Conference, EvoMUSART 2013, Proceedings. Vol. 7834 1. ed. 2013. p. 13-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7834 LNCS).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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N2 - Genetic algorithms have been introduced to the field of media segmentation including image, video, and also music segmentation since segmentation problems usually have complex search spaces. Music segmentation can give insight into the structure of a music composition so it is an important task in music information retrieval (MIR). Past approaches have applied genetic algorithms to achieve the segmentation of a single music track. However, music compositions usually contain multiple tracks so single track segmentations might miss important global structure information. This paper focuses on the introduction of an island model genetic algorithm to achieve single track segmentations with respect to the global structure of the composition.

AB - Genetic algorithms have been introduced to the field of media segmentation including image, video, and also music segmentation since segmentation problems usually have complex search spaces. Music segmentation can give insight into the structure of a music composition so it is an important task in music information retrieval (MIR). Past approaches have applied genetic algorithms to achieve the segmentation of a single music track. However, music compositions usually contain multiple tracks so single track segmentations might miss important global structure information. This paper focuses on the introduction of an island model genetic algorithm to achieve single track segmentations with respect to the global structure of the composition.

KW - Genetic Algorithms

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DO - 10.1007/978-3-642-36955-1_2

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BT - Evolutionary and Biologically Inspired Music, Sound, Art and Design - Second International Conference, EvoMUSART 2013, Proceedings

T2 - 2nd International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2013

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Rafael B, Affenzeller M , Wagner S. Application of an island model genetic algorithm for a multi-track music segmentation problem. In Evolutionary and Biologically Inspired Music, Sound, Art and Design - Second International Conference, EvoMUSART 2013, Proceedings. 1 ed. Vol. 7834. 2013. p. 13-24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-36955-1_2

Application of an island model genetic algorithm for a multi-track music segmentation problem

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