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.

翻译：尽管计算美学评估已在多个领域取得一定进展，但其在音乐表演研究中的应用仍有待探索。目前，主观评价仍是音乐美学研究的终极方法，但这将耗费大量人力物力。此外，由人工智能生成的音乐表演仍显机械、单调且缺乏美感。为引导AI音乐表演的生成任务并提升人类演奏者的表演效果，本文采用伯克霍夫审美度量提出一种客观的审美量化方法。本文主要贡献如下：首先，我们提出了一种用于衡量音乐表演美感的客观审美评估方法；其次，我们提出了10个基础音乐特征和4个审美音乐特征。实验表明，我们的方法在表演评估中表现良好。