Generation of Appropriate User Chord Development Based on Interactive Genetic Algorithm

The chord development is one of musical elements and plays a role to create atmosphere of a musical piece. Chord development is successive musical chord. Since there are in-numerably connections, it is hard for general users to create a music development, which suits for user´s favorite taste. A previous study has proposed a method to create a chord development by combining Genetic Algorithm and experience data storage system, however, the method did not reflect user´s favorite taste. This study proposes a method to create a chord development that suits the user´s favorite taste by using Inter-active Genetic Algorithm. In the proposed method, the user evaluates and scores created chord development in 7-point scale. Chord development optimization is performed based on the scores. Furthermore, we fundamentally evaluate the pro-posed method through a listening experiment.