Creation of Music Chord Progression Suited for User's Feelings Based on Interactive Genetic Algorithm

Abstract

Music chord progression is one of musical elements that compose music piece. The music chord progression can be created freely by a user, however, combination of music chords is innumerable to define the progression. To resolve this problem, chord progression theory and basic patterns are often used. However, with these methods, it is hard for general users to create a music progression suited for each user's feelings. In order to create the chord progression suited for the user's feelings, user's own basic music knowledge and experience are required. In our previous study, we have proposed Interactive Genetic Algorithm (IGA) that creates music chord progression. In the IGA, Genetic Algorithm was used as evolutionary algorithm. In this study, through two listening experiments, we investigated the efficacy of the proposed IGA creating music chord progression. As the experiments, searching and evaluating experiments were conducted. As targets of creation of the chord progression, "bright" and "dark" chord progressions were selected as experimental conditions. In the result of the searching experiment, significant increases of fitness value were observed in both of the conditions. In the results of the evaluating experiment, in the 13th generation, large difference in impression between the conditions was observed.