BayesianBand: Jam Session System Based on Mutual Prediction by User and System
BayesianBand: Jam Session System Based on Mutual Prediction by User and System
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BayesianBand：基于用户和系统相互预测的即兴演奏系统
DOI：
10.1007/978-3-642-04052-8_17
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发表时间：
2009
影响因子：
3
通讯作者：
H. Katayose
中科院分区：
文献类型：
--
作者：
Tetsuro Kitahara;N. Totani;Ryosuke Tokuami;H. Katayose
即兴演奏带来的一种乐趣是，在决定旋律或伴奏的同时，相互预测其他参与者将演奏什么。我们提出了一种称为BayesianBand的即兴演奏会话系统，它通过与计算机进行会话来提供这种音乐乐趣。使用该系统，会话中的和弦进程不是预先固定的，而是通过预测用户的旋律来实时确定的。在即兴演奏的同时，用户还被期望预测由系统产生的和弦进程；因此，将实现基于相互预测的合作即兴演奏会话。为了构建这个系统，我们构建了一个基于贝叶斯网络的旋律预测和和弦推理模型。
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.