Application of Artificial Intelligence in Computer-Aided Music Composition for Artistic Innovation
Abstract
In recent years, computer-aided composition systems have evolved from rule-based approaches to advanced deep neural networks, significantly improving both the efficiency and diversity of music creation. Artificial intelligence (AI) systems now have the ability to simulate a wide range of musical styles, generate melodies, and innovate complex structures. This paper provides a comprehensive review of the theoretical foundations behind current AI composition models, analyzing key challenges in music style transfer, melody generation, and related areas. Based on this analysis, a novel multi-level neural network composition framework is proposed and experimentally validated. The study demonstrates the effectiveness of the proposed method, offering new insights into music creation empowered by AI.
Fields of Study & Subjects
Music Technology and Sound Studies
Machine Learning in Materials Science
Diverse Interdisciplinary Research Innovations
Publication details
- Journal / source
- Journal of Cases on Information Technology
- Publisher
- IGI Global Scientific Publishing
- Volume
- 28
- Issue
- 1
- Pages
- 1–17
- Publication date
- 8 April 2026
- Language
- NG