Rhythm interaction system based on rhythm association

Musical sessions are often co-created through the interaction among plural players. We developed a music interaction system between human and machine rhythm performance, which is composed of rhythm maps with an association mechanism. To achieve musical interaction, a many-to-many association should be considered, because a preferable rhythm performance with partner's rhythms is not unique. The proposed association mechanism tuned by actual human performances allows the system to generate various rhythms that fit a partner's rhythm. We adopted a 3D acceleration sensor as an interface for human performance. We observed interactions with a human and virtual player to evaluate the effectiveness of the proposed system.