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arXiv · 2010.07805

Research on AI Composition Recognition Based on Music Rules

Yang Deng·Ziyao Xu·Li Zhou·Huanping Liu·Anqi Huang
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Abstract

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.

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Yang Deng, Ziyao Xu, Li Zhou, Huanping Liu, Anqi Huang. 2020-10-15. Research on AI Composition Recognition Based on Music Rules. https://arxiv.org/abs/2010.07805

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