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.
|Publikationsstatus||Veröffentlicht - 2009|
|Veranstaltung||Twelve International Conference on Computer Aided Systems Theory 2009 - Las Palmas, Spanien|
Dauer: 15 Feb. 2009 → 20 Feb. 2009
|Konferenz||Twelve International Conference on Computer Aided Systems Theory 2009|
|Zeitraum||15.02.2009 → 20.02.2009|