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

Authors:
Brigitte Rafael;Michael Affenzeller;Stefan Wagner
Affiliations:
School of Informatics, Communications and Media Heuristic and Evolutionary Algorithms Laboratory, University of Applied Sciences Upper Austria, Hagenberg, Austria;School of Informatics, Communications and Media Heuristic and Evolutionary Algorithms Laboratory, University of Applied Sciences Upper Austria, Hagenberg, Austria;School of Informatics, Communications and Media Heuristic and Evolutionary Algorithms Laboratory, University of Applied Sciences Upper Austria, Hagenberg, Austria
Venue:
EvoMUSART'13 Proceedings of the Second international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Year:
2013

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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.