Leveraging LLMs for Automated MIDI Generation
Corey Zhang, Mark Santolucito
Affiliation: Eastlake High School
IJSCAR Vol. 1, Issue 1 (2024) · pp. 3–10
Abstract
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 leverage LLM capabilities to automate and enhance the music composition process. We systematically examine methodologies and tools for integrating LLMs in music generation with direct music creation and code-based techniques. The challenge of automating music composition using AI remains significant due to the complexity and creativity required in the process. Our findings demonstrate the potential of LLMs to innovate and streamline music composition offering new tools and approaches for musicians and developers.
Keywords: large language models, music generation, code generation