Modeling of fuzzy logic controller and membership functions for humanizing synthetized music data in multimedia applications

Abstract

Multimedia applications, especially those that synthesize music data, are designed to operate based on algorithmic composition models. One of such models is the Hybridized Interactive Algorithmic Composition (HIAC) model. Algorithmic composition models are known to generate and synthesize music devoid of the natural human emotional dynamics. Such synthesized musical themes are considered mechanical in nature because they are precision driven. However, human composed music is driven by certain degree of uncertainty and approximations as emotions help in creating dynamics such as very soft, soft, medium, loud and very loud notes. Therefore, this paper is proposing the use of fuzzy logic in humanizing computer generated and synthesized music notes. This shall help multimedia application designers and developers to create software that will generate and synthesize natural sounding music.

Keywords: Fuzzy Logic, HIAC Model, Membership Functions, Multimedia Applications, Music Dynamics and Soft Computing