Piano harmony automatic adaptation system based on deep reinforcement learning

Piano harmony is a combination of multiple notes, which plays a vital role in enriching the expression of melody. However, research on the piano harmony automatic allocation system is insufficient, and the practical application of reinforcement learning technology is scarce. Based on this, this paper determines the key of the piano harmony automatic allocation system through the in-depth analysis of piano harmony, then arranges the piano harmony with the help of reinforcement learning rather than manual methods and designs a complete piano harmony allocation system it provides powerful help for piano music creation. Sufficient experiments show that the piano harmony automatic orchestration system based on reinforcement learning proposed in this paper has high accuracy, and the orchestration effect has a similarity of 93% with the creation of musicians, which the majority of piano scholars have recognized.