ARTIFICIAL INTELLIGENCE IN MUSIC COMPOSITION AND PERFORMANCE
- 1. Faculty of Church Music Nigerian Baptist Theological Seminary, Ogbomoso.
- 2. Department of Creative Arts, Faculty of Arts University of Lagos (UNILAG).
Description
Artificial intelligence (AI) is changing the way music is being created and performed and is, therefore, revolutionizing the classic approach to music production. With the incorporation of Artificial Intelligence (AI) in music writing and performance, the focus in creative works seems to have moved significantly away from traditional authorship, creativity, and human sensitivity. This paper aims to discuss the changing role of AI in the music industry as a helper and a partner in the creation of music and to understand the multifaceted role of AI in contemporary music-making in regard to the self-automation or augmentation of the creative process in music. In this paper, we investigate AI-enabled composition tools, performance improvement technologies, and generative models to discuss how AI can help musicians develop their creativity without compromising the emotional content of music. Moreover, the discussion includes the humanisation of AI-generated music, where the algorithms are tuned to reproduce the natural human touch in terms of timing, dynamics, and phrasing, thus balancing the automated and the authentic. However, the attempts made in AI’s quest for creativity are a half-hearted attempt at originality and showcase a lack of originality in its output, which raises the question about the originality of AI in music and demonstrates the challenges posed in distinguishing between impersonation and innovation. As a result, the paper discusses ethical issues such as authorship, originality and the role of human musicians in the future. Through the use of case studies and critical analysis, we try to offer a guarded optimism that AI can be a useful adjunct rather than a competitor to human creativity and thus lead to a new partnership between technology and musicality. P
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MSIJALJ1362025 GS.pdf
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Additional details
Dates
- Accepted
-
2025-09-07