Automatic generation method of twelve tone row for musical composition used genetic algorithm

  • Authors:
  • Yoichiro Maeda;Yusuke Kajihara

  • Affiliations:
  • Dept. of Human and Artificial Intelligent Systems, Graduate School of Engineering, University of Fukui, Fukui, Japan;Dept. of Human and Artificial Intelligent Systems, Graduate School of Engineering, University of Fukui, Fukui, Japan

  • Venue:
  • FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
  • Year:
  • 2009

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Abstract

Recently, researches on interactive art regarding computer graphics and computer music are actively performed. In the computer music, genetic algorithm (GA) and interactive genetic algorithm (IGA) are usually used for the sound generation process, but it is difficult to just handle these methods directly for the music composition. In this research we propose a music composition system based on Twelve-tone Technique that is a music composition technique of the contemporary music. Because it is a technique to compose the music step by step, the Twelve-tone Technique has an advantage that it is suitable for the composition of computer music. Making of twelve-tone rows which is the first process of the Twelve-tone Technique is an important process to determine the subject and atmosphere of music. However, it is difficult for a human without the knowledge of music to evaluate twelve-tone rows. In this paper, we design the fitness function based on the relation between the consonance interval and dissonant interval that are a part of general musical theory and perform the automatic generation of twelve-tone row by searching the consonance tone row with GA. We confirmed the effectiveness of this system by constructing the simulator that generates twelve-tone rows and executing the comparison questionnaire of twelve-tone rows made by the simulator and humans.