Music and Art Generation Using Generative AI

Authors

  • Santosh Jaini  Independent Researcher, India
  • Phani Monogya Katikireddi  Independent Researcher, India

DOI:

https://doi.org/10.32628/CSEIT2215472

Keywords:

Artificial Intelligence, Music Production, Art, GAN, RNN, Creativity, Risks, Uncanny Valley, Artificial Intelligence, Self-generated Materials

Abstract

Generative AI is thus a game-changer in the creative industries, especially in music and Art, since using machines to produce content by themselves has become a reality. This paper aims to review the use of generative AI in these fields, particularly emphasizing the techniques and models conducive to innovation. By examining state-of-the-art methods, such as GANs and RNNs, the paper explains how these technologies are leveraged to generate music and artwork. This paper provides case studies to show AI's potential in developing new music and artworks. Furthermore, the difficulties of incorporating AI into creative workflows, including ethical questions and overcoming the uncanny valley, are discussed. Moreover, the study indicates that while Generative AI can produce colossal returns, efforts should be made to minimize its weaknesses and address the future balance between utilizing artificial intelligence as a creative tool and a scripted one.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-11-30

Issue

Volume 8, Issue 6, November-December-2022

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Santosh Jaini, Phani Monogya Katikireddi, " Music and Art Generation Using Generative AI" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 6, pp.684-690, November-December-2022. Available at doi : https://doi.org/10.32628/CSEIT2215472