MusicGen-Chord: Advancing Music Generation through Chord Progressions and Interactive Web-UI
Jongmin Jung, Andreas Jansson, Dasaem Jeong

TL;DR
MusicGen-Chord enhances AI music generation by integrating chord progressions with textual and melodic inputs, enabling more musically coherent outputs, and is accessible via an interactive web interface.
Contribution
Introduces MusicGen-Chord, a novel extension of MusicGen that incorporates chord progression features into music generation models.
Findings
MusicGen-Chord effectively models chord progressions in generated music.
The web-based interface makes AI music creation accessible to users.
The model can generate musically coherent and diverse compositions.
Abstract
MusicGen is a music generation language model (LM) that can be conditioned on textual descriptions and melodic features. We introduce MusicGen-Chord, which extends this capability by incorporating chord progression features. This model modifies one-hot encoded melody chroma vectors into multi-hot encoded chord chroma vectors, enabling the generation of music that reflects both chord progressions and textual descriptions. Furthermore, we developed MusicGen-Remixer, an application utilizing MusicGen-Chord to generate remixes of input music conditioned on textual descriptions. Both models are integrated into Replicate's web-UI using cog, facilitating broad accessibility and user-friendly controllable interaction for creating and experiencing AI-generated music.
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Taxonomy
TopicsMusic Technology and Sound Studies · Diverse Music Education Insights
