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MuseNet

openai.com

51–60 of 189 posts

Re: MuseNet

#51
post #22
post #12

This seems incredibly applicable to musical scores in movies. I can imagine a product where the editor/director/someone inputs a handful of variables (mood, genre, instruments, etc) and timing requests (crescendo beginning at 30s and ending at 75s, calm period from 90s - 120s, etc) and out comes a musical score for the movie that matches up with their scene editing.

With hundreds of thousands of semi-professional and amateur musicians competing on the Internet for their 15 minutes of fame, getting film or computer game score just isn't a real problem. Besides, this is already doable, without neural networks. E.g. Karma[1]. The fact that most "AI music" enthusiasts don't know/care about such systems is a clear indicator that they aren't really interested in music or helping creat…

>just want to shove AI in yet another niche where it doesn't belong and then pat themselves on the back for contributing to "progress".

Can you elaborate on why AI doesn't belong in this niche? The results are too good? The results are not good enough?

Re: MuseNet

#52
post #12

This seems incredibly applicable to musical scores in movies. I can imagine a product where the editor/director/someone inputs a handful of variables (mood, genre, instruments, etc) and timing requests (crescendo beginning at 30s and ending at 75s, calm period from 90s - 120s, etc) and out comes a musical score for the movie that matches up with their scene editing.

Most big blockbusters already have such generic, boring, inoffensive scores already that going to a computer won't be much of a stretch.

Re: MuseNet

#53
post #49

I don't know the other genres well enough to evaluate them, but the bluegrass one ( https://soundcloud.com/openai_audio/genre-bluegrass ) is pretty bizarre: * Who uses piano as the lead instrument in bluegrass? * They're only using one one note velocity for the whole piece, which misses a huge wealth of variation through rhythmic accent. * Timing generally feels a bit robotic? * The best parts it sounds kind of ok bu…

It's midi. It's meant to be notation, not a realistic composition. I suppose the background "machine gun" piano notes would be a bassy synth combined with 90s electronic music drums. So please do not focus that much on the audio or performance part of it, but on the composition part of it.

I do agree they could have trained it about the importance of velocity though. (That neural net, and most young music students out there too, heh)

Re: MuseNet

#55
post #49

I don't know the other genres well enough to evaluate them, but the bluegrass one ( https://soundcloud.com/openai_audio/genre-bluegrass ) is pretty bizarre: * Who uses piano as the lead instrument in bluegrass? * They're only using one one note velocity for the whole piece, which misses a huge wealth of variation through rhythmic accent. * Timing generally feels a bit robotic? * The best parts it sounds kind of ok bu…

[deleted]

Re: MuseNet

#56
post #49

I don't know the other genres well enough to evaluate them, but the bluegrass one ( https://soundcloud.com/openai_audio/genre-bluegrass ) is pretty bizarre: * Who uses piano as the lead instrument in bluegrass? * They're only using one one note velocity for the whole piece, which misses a huge wealth of variation through rhythmic accent. * Timing generally feels a bit robotic? * The best parts it sounds kind of ok bu…

It's midi. It's meant to be notation, not a realistic composition. I suppose the background "machine gun" piano notes would be a bassy synth combined with 90s electronic music drums. So please do not focus that much on the audio or performance part of it, but on the composition part of it. I do agree they could have trained it about the importance of velocity though. (That neural net, and most young music students ou…

Do you think there was enough velocity info in the training corpus?

Re: MuseNet

#57
post #2

MuseNet will play an experimental concert today from 12-3p PT livestreamed on our Twitch channel. No human (including us) has ever heard these pieces before, so this will be an interesting showcase of MuseNet’s strengths and weaknesses. Through May 12th, we’re also inviting everyone to try out our prototype MuseNet-powered music generation tool.

Looks like there's no sound in the channel.

Re: MuseNet

#58

This may be academically interesting, but the music still sounds fake enough to be unpleasant (i.e. there's no way I'd spend any time listening to this voluntarily).

One thing with it is the distance from getting a computer to compose anything to getting it to compose close to human level could be 90% of the distance to getting it to compose at a super human level.

Even several months before Alpha Go beat Lee Sedol there were people saying the AI could be good but never great. Now everyone admits it's super human.

I agree that getting really texture and subtlety in the work is really hard. However a really good system has the possibility to be better than any human has ever been, and IMO that's super exciting.

Re: MuseNet

#59
Can it make ukulele music?

Perfect for youtube ads that must have obligatory music complete with the drone in the background "Pond 5.... Pond 5..." and the producer can't pitch in 5 bucks for it.

Re: MuseNet

#60
post #56

Earlier quoted context omitted.

It's midi. It's meant to be notation, not a realistic composition. I suppose the background "machine gun" piano notes would be a bassy synth combined with 90s electronic music drums. So please do not focus that much on the audio or performance part of it, but on the composition part of it. I do agree they could have trained it about the importance of velocity though. (That neural net, and most young music students ou…

Do you think there was enough velocity info in the training corpus?

Interesting question. I would assume yes. There should be enough data for things like sustain pedal and velocity dynamics. Music people can be "crazy" and add a lot of detail in their work. It is pretty common to find midi renditions of pieces that contain all kinds of extra information, from pitch shift cues for guitar solos to legato for string instruments (when the finger slides across the string, instead of "jumping" from position to position), to even volume automation for fade in/out effects. Classical musical notation also contains it, though way more limited than the 0-127 range of MIDI, in the piano/forte dynamics notation.

It might have been stripped off to ease complexity, or maybe it was unadequate and created odd sounding results. Maybe the midi library they used doesn't do a good job of portraying it and it is actually there! Who knows!

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