MusicGen-Chord: Advancing Music Generation through Chord Progressions and Interactive Web-UI
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866916501049573376 |
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| author | Jung, Jongmin Jansson, Andreas Jeong, Dasaem |
| author_facet | Jung, Jongmin Jansson, Andreas Jeong, Dasaem |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_00325 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MusicGen-Chord: Advancing Music Generation through Chord Progressions and Interactive Web-UI Jung, Jongmin Jansson, Andreas Jeong, Dasaem Sound Artificial Intelligence Machine Learning Audio and Speech Processing 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. |
| title | MusicGen-Chord: Advancing Music Generation through Chord Progressions and Interactive Web-UI |
| topic | Sound Artificial Intelligence Machine Learning Audio and Speech Processing |
| url | https://arxiv.org/abs/2412.00325 |