Design and Implementation of Midi Music System Based on Multimedia Api Time Function

Abstract

This paper studies the modeling and reasoning methods of rhythm, pitch and intensity of music based on Bayesian network API function. On the basis of format, we first model rhythm, pitch and strength based on Bayesian network. At the same time, the knowledge base is established according to the model, and the reasoning method of rhythm and pitch as well as the semi supervised music creation method are given. This paper proposes a simple two-level word filtering algorithm, and designs a human-computer interaction model based on multi-layer naive Bayesian network, corpus knowledge base and database stored procedures. The model provides interaction between composer and music creation. In this paper, we extend the traditional design pattern and design a MIDI music system based on multimedia API time function. Experimental results show that the proposed reasoning method is feasible.