Computational aesthetic evaluation has made remarkable contribution to visual
art works, but its application to music is still rare. Currently, subjective
evaluation is still the most effective form of evaluating artistic works.
However, subjective evaluation of artistic works will consume a lot of human
and material resources. The popular AI generated content (AIGC) tasks nowadays
have flooded all industries, and music is no exception. While compared to music
produced by humans, AI generated music still sounds mechanical, monotonous, and
lacks aesthetic appeal. Due to the lack of music datasets with rating
annotations, we have to choose traditional aesthetic equations to objectively
measure the beauty of music. In order to improve the quality of AI music
generation and further guide computer music production, synthesis,
recommendation and other tasks, we use Birkhoff's aesthetic measure to design a
aesthetic model, objectively measuring the aesthetic beauty of music, and form
a recommendation list according to the aesthetic feeling of music. Experiments
show that our objective aesthetic model and recommendation method are
effective.

通过使用 Birkhoff 的美学度量来设计一种客观测量音乐美感的美学模型，并根据音乐的美感形成推荐列表，以提高人工智能音乐生成的质量和指导计算机音乐制作、合成和推荐等任务的研究。

审美感知音乐推荐的排序复杂度审美评估模型

An Order-Complexity Aesthetic Assessment Model for Aesthetic-aware Music  Recommendation

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.

本文提出使用 Birkhoff 美学评价方法提高 AI 音乐性能生成任务并研究音乐表演的客观测量方法，并通过实验表明该方法在音乐表演评估方向有广泛适用性。