Jade Copet
First author of MusicGen and co-first author of EnCodec, both released in Meta's AudioCraft library
Jade Copet is first author of the MusicGen paper, Simple and Controllable Music Generation, and co-first author with Alexandre Défossez of the EnCodec neural audio compression paper. Both papers list their authors at Meta AI, with EnCodec naming the FAIR team, and both models are part of Meta's AudioCraft library, which releases code under the MIT license and model weights under CC-BY-NC 4.0. Copet is also a co-author of the Code Llama paper and of the Facebook AI Research paper on generative spoken language modeling from raw audio, and Copet's GitHub profile lists the facebookresearch organization.23456781
Work
MusicGen (AudioCraft) (external site: github.com)Open-source code
First author, with equal contribution marked for Felix Kreuk, and a core-team member on the MusicGen paper (2023). The AudioCraft repository, which includes MusicGen, cites the paper and releases its code under the MIT license and its model weights under CC-BY-NC 4.0.236
EnCodec (external site: arxiv.org)Published research
Co-first author with Alexandre Défossez of High Fidelity Neural Audio Compression (2022), the EnCodec paper; the AudioCraft repository describes EnCodec as its audio compressor and tokenizer.456
Other documented roles
Roles the sources document but that are not confirmed as current.
- Listed with Meta AI, FAIR Team on the EnCodec paper (2022) and with Meta AI on the MusicGen paper (2023), Meta AI (FAIR)531
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