Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

ARTIFICIAL INTELLIGENCE IN MUSIC COMPOSITION AND PERFORMANCE

Authors: Dr Gabriel Ademola Oyeniyi; Joshua Ayobami Oyeniyi;

ARTIFICIAL INTELLIGENCE IN MUSIC COMPOSITION AND PERFORMANCE

Abstract

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

Related Organizations
Keywords

Music Composition, Artificial Intelligence, Performance, humanisation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities