Google's 'Project Magenta' Art Machine Composes Its First Song (thenextweb.com)
An anonymous reader writes: Google's Project Magenta, which aims to use machine learning to create music and art, just created its first song. The song, which can be more appropriately described as a 90-second melody, is quite simplistic and reminiscent of an old Nokia ringtone. It's impressive for a machine! Magenta is built on top of its TensorFlow system, and all the open-sourced materials one could ever need are available through its Github. The team wants to be able to tell stories from the art it creates similar to that of artists. "The design of models that learn to construct long narrative arcs is important not only for music and art generation, but also areas like language modeling, where it remains a challenge to carry meaning even across a long paragraph, much less whole stories," the team wrote. "Attention models like the Show, Attend and Tell point to one promising direction, but this remains a very challenging task."
Wouldn't you need a proper formal music theory before you could programmatically have something work effectively on the medium of music? Go back to Helmholtz.
If we could use deep learning to let computers learn styles and patterns, eventually incorporating them into new music. It could usher in a new era where every film is composed by John Williams, or Mahler's tenth is finished, or there's a new Bach and Beethoven being made every day. Of course, on the arguably darker side, pop music could become entirely computer designed, although considering the quality it would actually sound better if done by computer.
The lyrics went something like this: ...never gonna give you up....never gonna let you downn.... ...never gonna run around, and desert you.
Maybe someone at Google should tell it that pianists often have more then one finger?
Hey, "deep learning" is all about pattern-matching, and what is music except a bunch of patterns! Let's have machines repeat back the patterns we use! Look -- it's artificial intelligence!
*sigh*
Yes, music IS just a bunch of patterns: patterns that evoke very specific emotions. You can't just string 'em together like popcorn, they go together for a reason. Listening to this is just painful, like watching a person try to walk on a broken leg with the bone still sticking out.
"We receive as friendly that which agrees with, we resist with dislike that which opposes us" - Faraday
http://thenextweb.com/google/2...
Jesus, that's a bloody awful animated gif to have on a "news" article.
It's also a bloody awful headline.
In fact, it looks like a bloody awful website all round.
As for the tune, it's not bad, but it's a little too unpredictable to be catchy.
systemd is Roko's Basilisk.
but now that google does it, the old thing is new and fresh and cool again. Just like when redmond does something someone else has done before, and likely better, cheaper, nicer, cooler, and so on. Welp, stands to reason. google is no longer "not evil".
Like how they're now locking up my browser with far too long litanies in legalese with demands for permission to put cookies on my computer and no way to say "no cookies, please". So I block them entirely and move to a different search engine. One that doesn't need cookies on my computer to give me search results. Bye-bye google. At least they now have a nice song to play on their own funeral, eh.
Watch it crank out 57 variations of the first few bars of Under Pressure and pat itself on the back for its ingenuity...
My comment is not on the music (muzak, more like) but on that quoted bit from the team at the end of the summary. If everything they write looks like this, no wonder they think holding on to a coherent thought across an entire paragraph is a challenge.
If the monkey selfie isn't copyrighted (in the US at least), is this? Are creative works by computers copyrighted?
http://lkml.org/lkml/2005/8/20/95
It's a hell of a lot better than many songs coming out these days.
Is it its first attempt, or only the first attempt that can reasonably be classified as a tune?
Breakfast served all day!
It's a crappy melody on top of a repetitious beat. Open the article and listen to it. Compared to the algorithmic music we've had in the past, this is a regression. I knew an undergrad in the 90s who was making computer generated motets better than this.
,if you disagree with me, at least listen to the 'song' before explaining why you disagree).
And that's not even addressing the emotional aspects that are communicated through music. Totally banal (seriously,
"First they came for the slanderers and i said nothing."
Since it was generated by an AI, who owns the copyright on this awful piece?
There were better song generators on the Commodore 64. Wow that was bad.
I realize the scientists want computers to understand language but I cannot see an upside to computers creating art and there is a downside.
Dictatorial regimes limit freedom of expression which results in minimal artistic work, except for a few state-sponsored efforts. Eg, ballet. Orwell probably saw this in Spain and he created a clever exception in his story about oppression: The music in '1984' was created by machines. The machines were owned by the state, who could thus censor all artistic work and stop ideas such as God or casual sex from occupying a citizen's thoughts. This oppression of thought was further enforced by the language of NewSpeak. More important, no humans worked as artists in Airstrip one.
"Google is cool, ..."
Google is cool,
(Of course, Bender will probably sue.)
WTF is John Tesh supposed to do now?
Songwriters and musicians are really annoying, in that one has to pay them, they have to live somewhere etc., let's automate! I'm not cynical enough to believe that this is/was a primary aim, but someone will inevitably start down this road with the research results.
On y va, qui mal y pense!
on a million keyboards for an infinite amount of time will eventually compose all the works of Beethoven.
That's one of the example MIDI files they fed it
Not like that has never been done before, or better. Mind the date: http://www.nytimes.com/1997/11/11/science/undiscovered-bach-no-a-computer-wrote-it.html?pagewanted=all
How do the two compare? I know this Google attempt will not qualify as 'composed by Bach', so is there something special in the way the Google AI came to this awful sequence of notes? If the Google folk except it to do better, why did they not wait a few learn-iterations and publish that result?
Wenn ist das Nunstueck git und Slotermeyer? Ja! Beiherhund das Oder die Flipperwaldt gersput.
Their latest album _The_Astonishing_ tells a story of a future time when digital music is generated by "noise machines" and mankind had forgotten what real creative music was. I know this is first attempt for AI but I (one with pretty much zero creativity) could come up with something better than that!
Case in point: We already had CS paper generators (https://pdos.csail.mit.edu/archive/scigen/), Plot generators (http://www.plot-generator.org.uk/story/) that can do a terrific job that most humans will get duped into thinking these are legit. And if you had the outputs of these being fed into AI, it may take AI quite some time to 'get it'. To deconstruct it. To understand the patterns. Then to generate the same crap programatically.
Music theory is hard - the sort of tones, the time between them all matter. When you want to make music that gets appreciated by an audience, it isn't always about the music. We know that. Big Data / Netflix tried to sort of use popularity semantics to match audiences with content. However, they never understood why people really love the music they love.
And this is the problem with AI. It may be very hard for AI to understand why humans like certains bits of music over the others - if they really want to produce quality music.
Also, I believe Google's research in this fashion is pure hype.