论文标题
基于音乐规则的AI组成识别的研究
Research on AI Composition Recognition Based on Music Rules
论文作者
论文摘要
人工智能组成的发展导致机器生成的作品的普及越来越普及，因此频繁出现了版权争议。关于人造和机器生成的作品的判断的研究不足。创建一种识别和区分这些作品的方法特别重要。从音乐的本质开始，本文通过提取模式构建了音乐规范识别算法，该算法将确定机器生成音乐模式的稳定性，以判断它是否是人工智能的。使用的评估数据集由声音和音乐技术会议（CSMT）提供。实验结果表明，该算法在具有不同源分布的数据集之间具有成功的区分能力。该算法还将为音乐版权和人工智能音乐的良性发展提供一些技术参考。
The development of artificial intelligent composition has resulted in the increasing popularity of machine-generated pieces, with frequent copyright disputes consequently emerging. There is an insufficient amount of research on the judgement of artificial and machine-generated works; the creation of a method to identify and distinguish these works is of particular importance. Starting from the essence of the music, the article constructs a music-rule-identifying algorithm through extracting modes, which will identify the stability of the mode of machine-generated music, to judge whether it is artificial intelligent. The evaluation datasets used are provided by the Conference on Sound and Music Technology(CSMT). Experimental results demonstrate the algorithm to have a successful distinguishing ability between datasets with different source distributions. The algorithm will also provide some technological reference to the benign development of the music copyright and artificial intelligent music.
