This paper describes a research work in which we study the possibility of applying genetic algorithms to the extraction of musical patterns in monophonic musical pieces. Each individual in the population represents a possible segmentation of the piece being analysed. The goal is to find a segmentation that allows the identification of the most significant patterns of the piece. In order to calculate an individual's fitness, all its segments are compared among each other. The bigger the area occupied by similar segments the better the quality of the segmentation.
Keywords
Pattern Extraction Music Analysis
Subject
AI and Music
Conference
First Sysmposium on Computer Music Modeling and Retrieval, CMMR 2003, May 2003
Cited by
Year 2013 : 1 citations
Rafael, B., Affenzeller, M., Wagner, S.,"Application of an island model genetic algorithm for a multi-track music segmentation problem",2013,"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",7834 LNCS,,,13,24,,,"http://www.scopus.com/inward/record.url?eid=2-s2.0-84875088843&partnerID=40&md5=a4d9534997af8d89622f80ceac8857ca",Conference Paper,Scopus
Year 2012 : 1 citations
Rafael, B., Oertl, S., Affenzeller, M., Wagner, S.,"Optimization of parameter settings for genetic algorithms in music segmentation",2012,"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",6927 LNCS,PART 1,,240,247,,1,"http://www.scopus.com/inward/record.url?eid=2-s2.0-84856947011&partnerID=40&md5=f71d19b7dae2db9db9bcf370541cd076",Conference Paper,Scopus
