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Published in:
2009 | OriginalPaper | Chapter
BayesianBand: Jam Session System Based on Mutual Prediction by User and System
Authors : Tetsuro Kitahara, Naoyuki Totani, Ryosuke Tokuami, Haruhiro Katayose
Published in: Entertainment Computing – ICEC 2009
Publisher: Springer Berlin Heidelberg
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One kind of pleasure that jam sessions bring is deciding a melody or an accompaniment while mutually predicting what the other participants are going to play. We propose a jam session system, called
BayesianBand
, which provides this kind of musical pleasure through sessions with computers. With this system, the chord progression in a session is not fixed in advance but rather is determined in real time by predicting the user’s melody. The user, while improvising, is also expected to predict the chord progression generated by the system; accordingly, a cooperative jam session based on the mutual prediction will be achieved. To build this system, we constructed a model for melody prediction and chord inference based on a Bayesian network.