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http://dx.doi.org/10.23086/trans.2022.13.03

A Study on the production of Music Content Using Artificial Intelligence Composition Program  

Park, Dahae (Osan University Dept. of Applied Music)
Publication Information
Trans- / v.13, no., 2022 , pp. 35-58 More about this Journal
Abstract
This study predicts the paradigm shift that the development of artificial intelligence technology will bring to the production of music content, and suggests that works created through collaboration between artificial intelligence and humans can have artistic value as finished products. Anyone can easily produce music content using artificial intelligence composition programs, and it has become an opportunity to inspire artists with various attempts and creative ideas. Although artificial intelligence technology provides convenience in human life and benefits a lot in the efficient aspect of work, it is difficult to escape the perception of data-based pattern music in the art field so far. Pattern music with many quantitative elements is not recognized as a complete creation due to the absence of abstract symbolism or meaning pursued by art. However, it predicts that if qualitative elements such as emotions and creativity are given to artificial intelligence music through human collaboration, it can be recognized as a complete work of art. The development of artificial intelligence technology increases access to culture and art from the public, and it can be expected that anyone can enjoy it as well as aesthetic experiences. In addition, various contents can be produced by improving individual digital literacy, and it is an opportunity to share and communicate with others. As such, artificial intelligence technology serves as a medium connecting the public with culture and art, and is narrowing the gap between humans and technology through art activities. Along with this cultural phenomenon, we predict the possibility of research on the production of artificial intelligence music contents with artistic value and the development of various convergence and complex art contents using artificial intelligence technology in the future.
Keywords
Artificial Intelligence; AI Music; Digital Music Content; AI Art; Art and Technology; Content Production;
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1 천현득, 「인공 지능에서 인공 감정으로 - 감정을 가진 기계는 실현가능한가? -」, 「철학」, 제131집, 2017, 221쪽.
2 정재훈, 안창욱, 「사용자 파라미터 설정과 코드진행을 고려한 유전 알고리즘 기반의 멜로디 자동 작곡 시스템」, 「한국정보과학회 한국컴퓨터종합학술대회 논문집」, 2015, 763쪽.
3 김훈석, 「음악과 인공지능의 상호관계 연구 - 공존과 지배의 관점에서 본 인공지능 -」, 「문화산업연구」, 18(1), 2018, 127쪽.
4 Steven R. Livingstone, Ralf Muhlberger, Andrew R. Brown, and William F. Thompson, 「Changing Musical Emotion: A Computational Rule System for Modifying Score and Performance」, 「Computer Music Journal」, Volume 34, 2010, p.47
5 구글 Magenta - Tone Transfer DDSP https://magenta.tensorflow.org/ddsp
6 구글 Magenta - Tone Transfer 사용자 화면 https://sites.research.google/tonetransfer
7 구글 Autodraw https://www.autodraw.com/
8 Deep daze https://github.com/lucidrains/deep-daze
9 DALL.E2 https://openai.com/dall-e-2/
10 OpenSea: https://opensea.io/
11 ZEPETO: https://world.zepeto.me/ko
12 윤성복, 정재훈, 안창욱, 「유전 알고리즘을 이용한 원곡 기반의 음악 재생산 작곡 시스템」, 「한국정보과학회 한국컴퓨터종합학술대회 논문집」, 2014, 1791쪽.
13 송선미, 여예강, 우정표, 정진경, 홍빛나, 변현진 「인공지능 탑재 소프트웨어를 활용한 문화예술콘텐츠 창.제작 연구 - 수제 막걸리를 중심으로 -」, 「상품문화디자인학연구」, Vol. 64, 2021, 242쪽.
14 김희영, 「예술에서 살펴본 인공지능의 미래 산업화 가능성 영화와 인공지능 예술을 중심으로」, 「만화애니메이션 연구」, 2018, 445쪽.
15 박재록, 「음악 제작에 도입된 기술과 인공지능에 관한 역사적 관점에서의 고찰」, 「음악이론연구」, 제33집, 2019, 131쪽.