For music, I think it's partly an academic question of "can we do it" rather than trying to maximize immediate practical usefulness. There's already quite a bit of work on symbolic music generation (mostly MIDI), a lot of it quite competent, especially in more constrained domains like NES chiptunes or classical piano, so a full text-to-audio pipeline probably seemed a more interesting research problem.
And for a lot of use cases, where people might truly not care too much about tweaking the output to their liking, the generated audio might be good enough; the examples were pretty plausible to my ear, if somewhat lo-fi sounding (probably because it's operating at 24kHz, compared to the more standard 44-48kHz).
In the future a more hybrid approach probably makes sense for at least some applications, where MIDI is generated along with some way of specifying the timbre for each instrument (hopefully something better than general MIDI, though even that would be fun; not sure if it's been done). I'm sure that in the near we'll see a lot more work in the DAW and plugin space to have these kind of things built-in, but in a way that they can be edited by the user.
Other libraries of (Royalty Free, Public Domain) sheet music:
Explainable artificial intelligence: https://en.wikipedia.org/wiki/Explainable_artificial_intelli...
FWIU, Current LLMs can't yet do explainable AI well enough to satisfy the optional Attribution clause of e.g. Creative Commons licenses?
"Sufficiently Transformative" is the current general copyright burden according to precedent; Transformative use and fair use: https://en.wikipedia.org/wiki/Transformative_use
That being said I have seen very little in the AI transcription space (Listening to music, and outputting legible sheet music while identifying instruments) especially when it comes to multi-instrument music. I've also seen very little in the midi generation space aside from what you mentioned.
It would be nice to see midi to midi AI remixes, analogous to how Chat GPT can (sort of) turn wikipedia into rap lyrics.
Though something end-to-end would probably make more sense; text is a lossy way to encode speech, as it doesn't capture a lot of nuance that goes into spoken words. Interestingly, the same could be said of sheet music and even MIDI in the music realm.
As for transcription for multi-instrument music, there's been a lot of work on that front, and a lot of progress that's already finding its way into commercial products. The latest I've seen in this domain is https://samplab.com/, which has some compelling videos of not only transcribing multi-instrument audio but editing it on a note-by-note basis.
If the argument is that "maximize immediate practical usefulness" is not something interesting, I would say it makes sense to say "I don't understand why this approach is pushed". Anyway.
In music, 'fixing' problems in sound is way more costly, so a producer would say that it's not something you can work with in any reasonable manner.
Pretty sure the Beatles never handed George Martin any midi files. What’s the symbolic representation that captures the tone of every bend in a Hendrix solo? Did Daft Punk go back and grab the raw master stems of the old vinyl recordings they used to assemble their tracks?
Music producers have been astonishingly creative given inputs in a vast range of formats. Sheet music and midi are one tool, but ultimately it’s about combining sounds in the mix isn’t it?
The issue with combining sounds in the mix is the issues add up in a super-linear way. Because of that you could even say that modern music producers tend to care too much about perfect sounds.
The Beatles did not have the same production requirement modern music have since there is high-fidelity equipment. The music industry as a whole changed a lot. Modern music production have multiple passes just to clean up one "perfect vocal take", like de-essing, breath removal, etc. This is insanely more advanced than what was the standard in the 60s. I'm not saying it's better either.
>What’s the symbolic representation that captures the tone of every bend in a Hendrix solo?
That's not how music works. You refer to the score, and the precise way you bend your tones is up to your interpretation. Even if you wanted to copy one-to-one Hendrix, you'd copy the style, not one performance exactly, so capturing every little bend does not really matter.
Which could be an AI project: Hendrixify a guitar track.
My point is that performances are as valid an input to music production as anything else.
And that these generative snippets are potentially a source of ‘performances’ that producers will tap in creative and interesting ways.