A Contrastive Study on Artificial Intelligence’s Music Creation and its Usability

Eunjoo Ryu
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Abstract

This thesis deals with the general discussion of music creation by artificial intelligence (AI) implemented based on machine learning and deep learning, which is meaningful in providing basic data to present the necessary direction for future development. As a research method, first, the type and characteristics of the currently commercialized artificial intelligence composition programs are investigated. Second, the cases used in music education, including these programs, are investigated and their strengths and weaknesses are identified. Lastly, by dealing with problems and incidents caused by artificial intelligence music composition, it suggests that institutional and legal devices to be prepared for the use of artificial intelligence (AI) music creation are needed. This paper can be used as basic data in the field of artificial intelligence music, which is continuously actively developed and discussed.
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人工智能音乐创作及其可用性对比研究
本文对基于机器学习和深度学习实现的人工智能音乐创作进行了一般性讨论,为未来的发展提供了必要的基础数据。作为一种研究方法,首先对目前商业化的人工智能作文程序的类型和特点进行了研究。其次,调查了音乐教育中使用的案例,包括这些课程,并确定了它们的优缺点。最后,通过处理由人工智能音乐创作引起的问题和事件,它表明需要为使用人工智能(AI)音乐创作准备制度和法律手段。本文可以作为人工智能音乐领域的基础数据,这一领域正在不断得到积极的发展和探讨。
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