A DATAFLOW-BASED METHODOLOGY FOR SOUND RENDERING USING L-SYSTEMS AND VISUAL LANGUAGE FRAMEWORK

Abstract

Lately, computer-music learners have been attracted to the applications of L-Systems in rendering harmonious music. However, the current available systems such as LMUSe, could only render harmonious sound if the L-Systems grammars are known by the user. Besides, in producing harmonious sound in LMUSe, stochastic and context-sensitive L-Systems are combined in a single step and therefore, it is hard for the computer-music learners to apply L-Systems. In this paper, we propose a 6-phases simple and flexible visual language programming for sound rendering so that the harmonious sound can easily be generated compared to LMUSe. Furthermore, with this framework, the computer-music and L-Systems learners do not need to have prior knowledge in both areas. Moreover, the stochastic and context-sensitive grammars are applied step-by-step as part of the methodology through the data-flow process to enhance the understanding of the process involved. Based on the subjective evaluation, it was found that the users could easily understand, appreciate and learn the process of applying stochastic and context-sensitive grammars in producing harmonious sound