The Use of AI in Creating Music Compositions: A Case Study on Suno Application
- DOI
- 10.2991/978-2-38476-348-1_13How to use a DOI?
- Keywords
- Modern performing arts; music composition; Suno AI
- Abstract
Nowadays, technological developments are very massive, and one of the most revolutionary software is the emergence of Artificial Intelligence (AI). Currently, AI is widely used by humans to make some of their matters easier so that their goals can be achieved quickly. In this context, AI has also penetrated the world of art, including music. Recently, AI has been blessed with the intelligence to quickly create musical compositions. One of the AIs that is well-known in the world of music is Suno. Nowadays, people can create musical compositions quickly and easily using the Suno application. People nowadays do not need to bother learning the science of musical composition to create musical compositions. Even the musical composition created by AI is quite good. This research will find out in more depth the advantages and disadvantages of creating compositions using AI. This research used a qualitative approach and an unobtrusive content analysis method. The theory used in this research is performing arts management.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Y. Yogi Tegar Nugroho AU - P. Paulus Metta Dwi Manggala PY - 2024 DA - 2024/12/31 TI - The Use of AI in Creating Music Compositions: A Case Study on Suno Application BT - Proceedings of the 7th Celt International Conference (CIC 2024) PB - Atlantis Press SP - 177 EP - 189 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-348-1_13 DO - 10.2991/978-2-38476-348-1_13 ID - Nugroho2024 ER -