Research and Design of Piano Automatic Accompaniment System based on Sound Type Database

In today’s society, artificial intelligence technology is developing rapidly, and algorithm composition is one of the research directions. It is no longer possible to keep up with the demand for piano accompaniment, and the use of artificial intelligence methods for piano accompaniment has become a trend. Therefore, this paper proposes a piano automatic accompaniment system for piano accompaniment analysis. Firstly, the HMM model is used to simulate the composition accompaniment, and the indicators are divided according to the piano accompaniment requirements to reduce them Disturbing factors in piano accompaniment. Then, the HMM model simulates the results of piano accompaniment of melodic compositions to form a piano accompaniment scheme and accompaniment results to the piano Conduct a comprehensive analysis. MATLAB simulation shows that under the condition of certain evaluation criteria, the piano automatic accompaniment system is feasible for piano accompaniment of melodic music. Piano accompaniment is more flexible than traditional accompaniment methods.