Survey
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 3
641-646

Survey of intelligent music creation based on GAN

Ma Dan
Wu Yue
School of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu 610000, China
DOI: 10.19734/j.issn.1001-3695.2020.02.0030

Abstract

Recently, researchers pay more and more attentions for automatic or semi-automatic music generation based on computer algorithm. With the further development of deep learning, researchers start to focus on producing high-quality and multifarious-style music with neural network and priori knowledge of music theory. Furthermore, several works introduced generative adversarial network(GAN) to try to improve the quality of the results. To summarize the important results in this area is meaningful and with guiding significance for the following works. This paper firstly reviewed the history of intelligent music, then listed related GAN model that are commonly applied in music creation, after that it analyzed some important works in this area. Finally, it presented some observations, and prospected future work direction.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.02.0030
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 3
Section: Survey
Pages: 641-646
Serial Number: 1001-3695(2021)03-001-0641-06

Publish History

[2021-03-05] Printed Article

Cite This Article

马丹, 吴跃. 基于生成对抗网络的智能音乐制作综述 [J]. 计算机应用研究, 2021, 38 (3): 641-646. (Ma Dan, Wu Yue. Survey of intelligent music creation based on GAN [J]. Application Research of Computers, 2021, 38 (3): 641-646. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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