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MuseNet

openai.com

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Re: MuseNet

#91

Post by imdsm »

CuriouslyC wrote: post #81

I'm very into both music composition/production and ML, so this is neat. That being said, I think the "computer generated music" path is probably the wrong approach in the short term. Music is really complex and leans heavily on both emotions and creativity, which aren't even on the radar for AI. Being able to dynamically remix and modulate existing music is still really cool though. I would kill for a VST tool that…

To be fair, I recently watched a video with Dr Hannah Fry in which she played real vs AI music samples, and while the real human music was more complex, the AI composed music, though simpler, was still good and at first, hard to pick out.

Re: MuseNet

#92

Post by dillondoyle »

Can someone live stream to Twitch, collect likes or comments, and then feed back and make a GAN trained on our collective response to the musical output?

I would LOVE to see where that goes... Is it going to turn into 4 chord pop? Or maybe more dominant, more resolve-y? Or maybe my assumptions will be wrong and we would collectively train for more complex music?

Re: MuseNet

#93

Post by nate »

As an amateur video producer constantly on the lookout for even some basic (as in not grammy winning, or even "artist" quality) music to add to my work that I don't have to pay a fortune to license, but don't want it to be incredibly unoriginal, this path has me excited.

Re: MuseNet

#94

Post by z3t4 »

snazz wrote: post #46
z3t4 wrote: post #33

Have anyone attempted to make a code autocomplete or snippet/boilerplate generator using this !? Would be nice when coding on mobile where its hard to navigate between code and navigation due to the small screen.

Wrong thread?

> MuseNet uses the same general-purpose unsupervised technology as GPT-2, a large-scale transformer model trained to predict the next token in a sequence, whether audio or text.

Re: MuseNet

#95

Post by brilee »

My take on the classical parts of it, as a classical pianist.

Overall: stylistic coherency on the scale of ~15 seconds. Better than anything I've heard so far. Seems to have an attachment to pedal notes.

Mozart: I would say Mozart's distinguishing characteristic as a composer is that every measure "sounds right". Even without knowing the piece, you can usually tell when a performer has made a mistake and deviated from the score. The mozart samples sound... wrong. There are parallel 5ths everywhere.

Bach: (I heard a bach sample in the live concert) - It had roughly the right consistency in the melody, but zero counterpoint, which is Bach's defining feature. Conditioning maybe not strong enough?

Rachmaninoff: Known for lush musical textures and hauntingly beautiful melodies. The samples got the texture approximately right, although I would describe them more as murky more than lush. No melody to be heard.

Re: MuseNet

#96

Post by ccozan »

harigov wrote: post #79
BowBun wrote: post #71

Earlier quoted context omitted.

Fear not, my friend, because the execution is only a part of why music and art as a whole carries meaning for us. Consider two tracks that are identical (forget copywrite for a minute). Between one that an AI generated and a human composed, I would personally grant the human-generated version more credit and enjoy it more. The story of how art is created and the stories of the artist are as substantial to appreciatin…

What makes you think that a computer that can generate music cannot also generate a background for the "creator" of that music? It can give you all the stories that touch our hearts even more so than we can imagine.

Even especially when OpenAI has such a wonderfull 'fake' text generator/narator ...

I wonder, if they can compose, how long until passable lyrics are added along?

Re: MuseNet

#97

Post by make3 »

modeless wrote: post #42

I think this is far, far beyond any algorithmic composition system ever made before. It displays an impressive understanding of the fundamentals of music theory. Most previous attempts at neural net composition restricted the training set to one style of music or even one composer, which is pretty silly if you understand how neural nets work. It was obvious to me if you used a very large network, chose the right inpu…

the problem to the scaling thing is that we don't nearly have as many samples per artist as we do have "text pointed to by links on reddit", as used in GPT2 (openAi's text generation thing). I would expect that they can't go as crazy as they could

Re: MuseNet

#98

Post by sanxiyn »

lucidrains wrote: post #80
01100011 wrote: post #78

Earlier quoted context omitted.

It's probably only a matter of time before we have a GauGAN like interface for synthetic music creation...so you could say 'i want a sad song with a soft intro and a buildup of tension here with lyrics covering these emotions and things which lasts 7 minutes'. ML/DL is coming for a lot of the grunt work. It's coming for us as programmers as well. It's probably a few years away, but ML/DL

Given how easy it is to train a Transformer on any sequence data, and given how plentiful open source code is, I'd say "CodeNet" is probably less than a year away. OpenAI will probably do it first given they already have the setup.

There already is TabNine. TabNine is a machine learning autocompleter that works for all programming languages.

https://tabnine.com/

Re: MuseNet

#99

Post by dluan »

bgeeek wrote: post #27
rco8786 wrote: 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.

YouTube maybe, but movies? I could think of nothing worse. The score for a movie is just as important to me as the visuals.

the line between movies and games will blur dramatically. think bandersnatch, but it's the viewer saying "open the door" and the directorGAN will generate a new storyline.

Re: MuseNet

#100

Post by laughinghan »

diehunde wrote: post #41
Areading314 wrote: post #26

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).

Yes, the lack of human factor is very noticeable if you are a musician. I believe it's pretty similar to when grandmasters can tell if they are playing a human or a bot. Something that's hard to explain. Now saying if it's better or worse is just subjective.

Grandmasters also use different tactics against bots: https://en.wikipedia.org/wiki/Anti-computer_tactics

The concept of how different human intelligence is from "AI" fascinates me, as it would seem to say a lot about the nature of intelligence and how far we are from GAI (pretty darn far).

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