DocumentCode :
3120774
Title :
A hybrid computational intelligence approach for automatic music composition
Author :
Acampora, Giovanni ; Cadenas, Jose Manuel ; De Prisco, Roberto ; Loia, Vincenzo ; Muñoz, Enrique ; Zaccagnino, Rocco
Author_Institution :
Dept. of Comput. Sci., Univ. of Salerno, Fisciano, Italy
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
202
Lastpage :
209
Abstract :
The use of computers in the production of artifacts has drawn the attention of both artists and computer scientists. Among the different art disciplines, music is one of the arts that most benefited from the use of computers. There are many works which demonstrate the great synergy between these two fields. In this paper we will focus on a specific music composition problem: the figured bass problem, in which we have to automatically generate a 4 voice piece of music, starting from an input the bass line. To solve this problem we use a hybrid strategy, in which different metaheuristics cooperate to find high quality solutions. The cooperation is controlled by means of the combination of fuzzy control and knowledge obtained through Data Mining. As will be shown in the experimental results section, this hybrid strategy is capable of finding musical solutions with an acceptable quality and never discordant which, according to experts, are sound and adhere to scholastic rule.
Keywords :
data mining; fuzzy control; music; automatic music composition; data mining; figured bass problem; fuzzy control; hybrid computational intelligence approach; Adaptation models; Art; Biological cells; Computers; Data mining; Music; Optimization; Adaptive Memetic Algorithms; Computer Music; Evolutionary Computation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1098-7584
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2011.6007524
Filename :
6007524
Link To Document :
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