A Learning-Based Jam Session System that Imitates a Player's Personality Model

This paper describes a jam session system that enables a human player to interplay with virtual players which can imitate the player personality models of various human players. Previous systems have parameters that allow some alteration in the way virtual players react, but these systems cannot imitate human personalities. Our system can obtain three kinds of player personality models from a MIDI recording of a session in which that player participated – a reaction model, a phrase model, and a groove model. The reaction model is the characteristic way that a player reacts to other players, and it can be statistically learned from the relationship between the MIDI data of music the player listens to and the MIDI data of music improvised by that player. The phrase model is a set of player’s characteristic phrases; it can be acquired through musical segmentation of a MIDI session recording by using Voronoi diagrams on a piano-roll. The groove model is a model that generates onset ti...

• Type: Conference
• Year: 2003
• Where: IJCAI
• Authors: Masatoshi Hamanaka, Masataka Goto, Hideki Asoh, Nobuyuki Otsu
• Keywords: Human Players, IJCAI 2003, IJCAI 2007, Player Personality Models, Reaction Model