Open AccessComputer-assisted Music Composition Algorithm Design Dependent on Interactive Genetic Algorithm with Interval Fitness
Author(s) -
Qili Guo
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2066/1/012035
Subject(s) - composition (language) , computer science , interval (graph theory) , algorithm , genetic algorithm , musical composition , set (abstract data type) , computer music , rhythm , style (visual arts) , evolutionary music , artificial intelligence , machine learning , interactive evolutionary computation , mathematics , music education , linguistics , programming language , psychology , art , musical , pedagogy , philosophy , literature , evolutionary programming , combinatorics , visual arts , aesthetics
Computer-assisted music composition refers to computer-assisted music composition with the participation of people. However, there are problems such as style and expression. In this paper, a computer-assisted music composition algorithm based on the interactive genetic algorithm with interval fitness is proposed. A new music prediction model is established by integrating melody units and rhythms into traditional models with only notes or rhythms as units. Moreover, the generated music phrases are optimized by the interactive genetic algorithmphrase. The simulation results suggest that the proposed algorithm can generate music phrases quickly with a certain melody logic that conforms to the personal demand of users using a small data set.