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Bayesian linear basis models with gaussian priors for musical expression
- Carlos Eduardo Cancino Chacón, Maarten Grachten, Gerhard Widmer
- We present a probabilistic linear basis model for musical expression. The model is an extension of prior work by Grachten and Widmer [Grachten and Widmer, 2012] and is a generalization of the work by Grachten et al. [Grachten et al., 2014]. By assuming the prior distribution of the model parameters to be Gaussian with arbitrary mean and covariance, this model allows for specifying musical knowledge, and for modeling multiple distinct performances of the same piece. We show that in its current state, the model performs at least on a par with the original approach.