aceArtificial Intelligence in Music Generation: Techniques, Applications, and Challenges
The rapid advancement of artificial intelligence (AI), particularly in the field of deep learning, has significantly impacted creative domains such as music generation. From rule-based approaches to powerful generative models, AI is now capable of composing melodies, harmonies, and entire musical pieces with a degree of coherence and creativity previously thought to be uniquely human. This paper explores the evolution of AI-driven music generation, examining key technologies in- cluding Recurrent Neural Networks…
AI systems using RNNs, Transformers and GANs can compose coherent melodies and full pieces, increasing efficiency and diversity of music creation.
Effectiveness depends on ethical guidance and human collaboration, and black-box models remain difficult to interpret.
Evidence
- Peer-reviewedAdvances in Engineering Technology Research2025-11-20
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Truvace Impact Record TRV-2026-0448, v1: “Artificial Intelligence in Music Generation: Techniques, Applications, and Challenges.” Truvace, 2026-07-20. /record/TRV-2026-0448 (accessed at citation time). sha256 ecea5ceceb805aef…
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