  Although computational aesthetics evaluation has made certain achievements in
many fields, its research of music performance remains to be explored. At
present, subjective evaluation is still a ultimate method of music aesthetics
research, but it will consume a lot of human and material resources. In
addition, the music performance generated by AI is still mechanical, monotonous
and lacking in beauty. In order to guide the generation task of AI music
performance, and to improve the performance effect of human performers, this
paper uses Birkhoff's aesthetic measure to propose a method of objective
measurement of beauty. The main contributions of this paper are as follows:
Firstly, we put forward an objective aesthetic evaluation method to measure the
music performance aesthetic; Secondly, we propose 10 basic music features and 4
aesthetic music features. Experiments show that our method performs well on
performance assessment.
