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Open-sourcing AudioCraft: Generative AI for audio

ai.meta.com

31–40 of 335 posts

Re: Open-sourcing AudioCraft: Generative AI for audio

#31

Earlier quoted context omitted.

The Record labels are far , far more litigious than the art community.

They can't litigate a person doing this at home, and never redistributing. I suppose they might try, anyway.

The RIAA pioneered copyright enforcement at the individual level back in the 2000s, they absolutely would try to sue downstream AudioCraft users.

Re: Open-sourcing AudioCraft: Generative AI for audio

#32

Wonder how far off the whole "generate music based on your existing music library" thing is going to be? That'll make musicians happy with big tech as well, just like artists are. *sigh*

Perhaps LoRA (Low-Rank Adaptation) training techniques could be used for these types of models, like they're currently being used with LLMs and latent text-to-image diffusion models.

Re: Open-sourcing AudioCraft: Generative AI for audio

#33
post #13

> MusicGen, which was trained with Meta-owned and specifically licensed music, generates music from text-based user inputs, while AudioGen, which was trained on public sound effects, generates audio from text-based user inputs. Meta is really clearly trying to differentiate themselves from OpenAI here. Open source + driving home "we don't use data we haven't paid for / don't own".

[deleted]

Re: Open-sourcing AudioCraft: Generative AI for audio

#34
post #13

> MusicGen, which was trained with Meta-owned and specifically licensed music, generates music from text-based user inputs, while AudioGen, which was trained on public sound effects, generates audio from text-based user inputs. Meta is really clearly trying to differentiate themselves from OpenAI here. Open source + driving home "we don't use data we haven't paid for / don't own".

This is purely a function of everyone remembering the RIAA's decade-long campaign to prevent people from taking the music they had rightfully stolen. As far as I'm aware LLaMA was trained on "publicly available data"[0], not "licensed data". Furthermore, MusicGen's weights are licensed CC-BY-NC, which is effectively a nonlicense as there is no noncommercial use you could make of an art generator[1]. This is not only…

> MusicGen's weights are licensed CC-BY-NC, which is effectively a nonlicense as there is no noncommercial use you could make of an art generator

How do you figure? Have you never just...made stuff to make stuff?

Re: Open-sourcing AudioCraft: Generative AI for audio

#36
post #4

The demos are great. Could someone explain what’s in it for Meta open sourcing all these models?

The same move that Microsoft did back in 90's to kill Netscape. Make your product the one available to masses, next generation of users will be using your product.

Re: Open-sourcing AudioCraft: Generative AI for audio

#39
post #34

Earlier quoted context omitted.

This is purely a function of everyone remembering the RIAA's decade-long campaign to prevent people from taking the music they had rightfully stolen. As far as I'm aware LLaMA was trained on "publicly available data"[0], not "licensed data". Furthermore, MusicGen's weights are licensed CC-BY-NC, which is effectively a nonlicense as there is no noncommercial use you could make of an art generator[1]. This is not only…

> MusicGen's weights are licensed CC-BY-NC, which is effectively a nonlicense as there is no noncommercial use you could make of an art generator How do you figure? Have you never just...made stuff to make stuff?

I think the key word there is "noncommercial".
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