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Realization of Composing Music Based on State-of-art AI Approaches
- 1 Xiamen No. 2 Middle School, Xiamen, China
* Author to whom correspondence should be addressed.
Abstract
As a matter of fact, AI techniques has witnessed tremendous rapid development especially among recent years with the boosting of the GPU ability. Among various application fields, AI-assisting music composition has become widely investigated contemporarily. Amidst the burgeoning technological landscape, AI has penetrated music composition in various fields. With this in mind, this paper delves into the state-of-art AI scenarios for music creation with various situations. To be specific, it covers revealing AI models' capacity to generate diverse pieces but also their struggles in emulating human-like emotional depth. According to the analysis, the realization principles for different models, applications in different situations as well as limitations and prospects are demonstrated and evaluated. Overall, these results shed light on guiding further exploration of AI composing music. At the same time, this study offers new tools and paves the way for future research of music composition based on the state-of-art AI models in this evolving field.
Keywords
AI music, music composition, AI models
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Cite this article
Su,J. (2025). Realization of Composing Music Based on State-of-art AI Approaches. Applied and Computational Engineering,158,74-80.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of CONF-SEML 2025 Symposium: Machine Learning Theory and Applications
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