Research on Aesthetic Emotion Expression of Piano Music Based on Deep Learning

In music art, piano art has a strong aesthetic value, and there are also many forms of piano music art in music art. The emotions expressed by music may change with time. If a complete piece of music is mapped to an emotional sequence, the analysis of musical emotions will be more accurate. In order to study the expression of aesthetic emotion in piano music art, this article puts forward an algorithm for extracting piano music emotion based on deep learning. Taking music files as research samples, it analyzes music emotion by using production rules and uncertain reasoning technology. From the comparative experiments of different algorithms on the test set and the experimental set, it can be concluded that the accuracy of the algorithm in this article is about 94
^%
on the test set and more than 95% on the experimental set. For piano players, if they want to better convey the emotions contained in the art of piano music to the audience, they must integrate their own emotions into it and arouse rich emotiona01 experiences with psychological resonance.