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Computer Science > Sound

arXiv:2412.00325 (cs)
[Submitted on 30 Nov 2024]

Title:MusicGen-Chord: Advancing Music Generation through Chord Progressions and Interactive Web-UI

Authors:Jongmin Jung, Andreas Jansson, Dasaem Jeong
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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.
Comments: Late-breaking/demo (LBD) at ISMIR 2024. this https URL
Subjects: Sound (cs.SD); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS)
Cite as: arXiv:2412.00325 [cs.SD]
  (or arXiv:2412.00325v1 [cs.SD] for this version)
  https://doi.org/10.48550/arXiv.2412.00325

Submission history

From: Jongmin Jung [view email]
[v1] Sat, 30 Nov 2024 02:49:45 UTC (902 KB)
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