1A1-K02 A Music generation by Associative Memorization Model of The Music Features using Restricted Boltzmann Machine and Conditional RBM(Evolution and Learning for Robotics)

Abstract

In this paper, we develop an associative memorization architecture of the musical features from time sequential data of the music audio signals. This associative memorization architecture is constructed by using of Restricted Boltzmann Machine (RBM) and Conditional RBM (CRBM). Challenging purpose of our research is development of the new composition system that automatically creates a new music based on some existing music. In this composition system, characteristics or common musical features of existing music are learned and extracted, then a new different musical melody having such musical features is created. This paper illustrates the important former part of the whole system.