Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Artificial Intelligence in Music Composition and Production

Zastosowanie AI w procesie komponowania i realizacji utworu muzycznego
Authors: Mazurowski, Dariusz;

Artificial Intelligence in Music Composition and Production

Abstract

This article examines the role of artificial intelligence in the process of music composition and production. It explores the evolving relationship between human creativity and AI-based systems, analyzing their practical applications in compositional workflows, sound design, structural modeling, and production environments. The study discusses both the technological foundations of contemporary AI tools — including machine learning models and generative systems — and their aesthetic, philosophical, and authorship-related implications. Rather than treating artificial intelligence as a substitute for the composer, the article frames AI as an advanced cognitive and technological extension of the creative process. The text combines theoretical reflection with insights drawn from artistic practice in electroacoustic and electronically mediated music. Polish version title:Zastosowanie AI w procesie komponowania i realizacji utworu muzycznego. Both Polish and English language versions of the article are included in this record. This publication is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. The project was co-financed by the European Union's NextGenerationEU fund as part of the National Recovery Plan.

Keywords

sound design, music composition, AI-assisted creativity, digital music technologies, music production, generative systems, human–AI collaboration, live electronics, electroacoustic music, artificial intelligence

  • 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
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!