Leveraging LLMs for Automated MIDI Generation
This paper explores the application of large language models (LLMs)for music generation, specifically focusing on generating MIDI files,JSON representations, and music-related code. We aim to leverageLLM capabilities to automate and enhance the music compositionprocess. We systematically examine methodologies and tools forintegrating LLMs in music generation with direct music creationand code-based techniques. The challenge of automating musiccomposition using AI remains significant due to the complexityand creativity required in the process. Our findings demonstrate thepotential of LLMs to innovate and streamline music composition,offering new tools and approaches for musicians and developers.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-01
- DOI
- https://doi.org/10.5281/zenodo.14279479
- Primary Topic
- Music Technology and Sound Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00