121–130 of 189 posts
While this may not be perfect composition, this is a surreal (and almost sad) moment in my life to hear music that is passable created by a computer under it's own volition. I work at a company that works with a lot of machine learning so I generally understand its limitations and haven't ever been an alarmist. That being said, I generally always thought of it being applied to automate work. For some reason I had alw…
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Music created solely by machines will probably remain derivative and simplistic for a long time. I expect the biggest result of this research in the near term is that we'll be able to create tools that lower the skill and time required to create good music, kind of like an audio version of templates/autocomplete/spellcheck.
Agreed completely, don't know why you're getting downvoted...
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>Music is really complex and leans heavily on both emotions and creativity, which aren't even on the radar for AI. I definitely think creativity is on the radar for AI, see: AlphaGo. Everything we think is based on emotions is ultimately learnable.
Go is a game with a strict ruleset. The comparison is not valid.
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>Music is really complex and leans heavily on both emotions and creativity, which aren't even on the radar for AI. I definitely think creativity is on the radar for AI, see: AlphaGo. Everything we think is based on emotions is ultimately learnable.
I don't think alpha go is a good example here. It play with strange brilliance, but I wouldn't call that creativity. If you care to elaborate on why you said this I'm curious to hear your rational. To me, creativity is really about generation of "aesthetic novelty" which is hard to get from a ML algorithm that is trying to approximate patterns in training data. Eventually, there will be models trained on a wide varie…
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…
[1]: https://open.spotify.com/track/4QGO8m9OCsiW5iNF4ZNqgk?si=E8C...
Neat output, the project is very similar compared to the Google Doodle a few weeks back, where they generated music based off of user-submitted notes. https://www.google.com/doodles/celebrating-johann-sebastian-... Since this is OpenAI, is MuseNet open source?
Not yet, but we plan to release the code & pre-trained model!
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Not yet, but we plan to release the code & pre-trained model!
What kind of hardware (and what size data set) would you need to train with new types of music? Doable with a single 1080ti and a couple of hundred midi files? Also, can you do supervised learning with this - say melody input and chords (with good voice leading) output?
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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.
Given two stories, both identical, where one story is real - the real story will always be more meaningful because it has actually happened within the constraints of our reality, granting it validity and us the ability to relate to it.
Now, consider two stories, both identical, where one story is "real" and the other story is from a simulated universe. Now I'd say that both stories are of possibly equivalent value, since both have happened.
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Go is a game with a strict ruleset. The comparison is not valid.
One could say music is also a game with a strict ruleset. Indeed having played the piano for 20+ years now, I often think of how no matter how good I am, I won't invent a new form of music or even style of music, I am limited to the 'rules' of my piano.
Actually I think "inventing new forms of music" is a pretty great musical Turing test. How much neural-network training would it take to make an AI that can take the sum total of existing music, extrapolate the rules, and then deliberately break those rules in such a way as to make something that humans would find interesting?