Deep Learning Algorithm Composition System Based on Music Score Recognition

Abstract

With the development of computer science and music technology, algorithms have been widely studied and applied in the field of computer composition. The “computer generated art” evolved from this belongs to the category of algorithmic art. The creators can make the computer automatically generate and create music or assist the creators to complete music creation by writing programs and formulating relevant limiting rules. Music composition system based on deep learning algorithm of music score recognition is a method of creating deep neural network to recognize and classify music scores. The main idea behind this method is to use deep learning algorithm to generate features from the input data, and then use these features to classify music scores. The deep learning algorithm helps to identify patterns in the input data by using multi-layer artificial neurons or by training learning nodes. These layers may be stacked one after another to form a network with many hidden layers. In other words, this is an attempt to discover patterns in large data sets by using techniques such as clustering and analysis.