Automatic Estimation of Control Parameters: An Instance-Based Learning Approach
نویسندگان
چکیده
An automatic method is proposed for the estimation of control parameters for musical synthesis algorithms. This method can be applied on a large class of systems for which a simulation, or “model” is available. In this paper we describe its application on a physical model of a trumpet where the “system” is an acoustical instrument, a trumpet, and the “model” a computer program that simulates trumpet sounds. An instance based learning program was developed that determines the control parameters of the physical model from a set of characteristics of the desired sound. The main advantage of this approach is that it can be applied to any synthesis algorithm.
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