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Journal Article 음악 생성형 AI 기술 동향
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Authors
박지현, 김혜미, 김정현
Issue Date
2026-04
Citation
전자통신동향분석, v.41, no.2, pp.86-99
ISSN
1225-6455
Publisher
한국전자통신연구원
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2026.J.410209
Abstract
Recent advances in artificial intelligence (AI) are driving structural changes in music creation and research. Moving beyond traditional approaches that focus on models optimized for individual functions or specific tasks, the field is increasingly shifting toward foundation models capable of accommodating diverse inputs and representations while supporting the creative process as a whole. This study reviews the background and trajectory of this transition and explores how generative music AI is evolving from a simple automation tool to a partner that augments human creative capabilities. In particular, it synthesizes the technical and conceptual significance of key transitions, including the expansion of musical representations, the generalization of conditional generation and control, and the integration of model architectures. Moreover, it analyzes patterns of technical evolution and their practical implications by examining representative generative music AI models.
Keyword
Generative Music AI, Human–AI Collaborative Music Creation, Multimodal Music Generation, Music Foundation Models
KSP Keywords
Collaborative music, Generative music, Music creation, Structural changes, Technical evolution, artificial intelligence, creative process, music generation, practical implications
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: