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

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

2 Zitate (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.

OriginalspracheEnglisch
TitelEvolutionary and Biologically Inspired Music, Sound, Art and Design - Second International Conference, EvoMUSART 2013, Proceedings
Seiten13-24
Seitenumfang12
Band7834
Auflage1
DOIs
PublikationsstatusVeröffentlicht - 2013
Veranstaltung2nd International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2013 - Vienna, Österreich
Dauer: 3 Apr. 20135 Apr. 2013

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band7834 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz2nd International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2013
Land/GebietÖsterreich
OrtVienna
Zeitraum03.04.201305.04.2013

Schlagwörter

  • Genetic Algorithms
  • Music Segmentation

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