Using Heuristic Optimization for Segmentation of Symbolic Music

Brigitte Rafael, Stefan Örtl, Michael Affenzeller, Stefan Wagner

Publikation: KonferenzbeitragAbstract

Abstract

Solving the segmentation problem for music is a key issue in music information retrieval (MIR). Structural information about a composition achieved by music segmentation can improve several tasks related to MIR such as searching and browsing large music collections, visualizing musical structure, lyric alignment, and music summarization. Various approaches using genetic algorithms have already been introduced to the field of media segmentation including image and video segmentation as segmentation problems usually have complex fitness landscapes. The authors of this paper present an approach to apply genetic algorithms to the music segmentation problem.

OriginalspracheEnglisch
Seiten220-221
PublikationsstatusVeröffentlicht - 2009
VeranstaltungTwelve International Conference on Computer Aided Systems Theory 2009 - Las Palmas, Spanien
Dauer: 15 Feb 200920 Feb 2009
http://www.iuctc.ulpgc.es/spain/eurocast2009/index.html

Konferenz

KonferenzTwelve International Conference on Computer Aided Systems Theory 2009
Land/GebietSpanien
OrtLas Palmas
Zeitraum15.02.200920.02.2009
Internetadresse

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