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Software Predicts Music Success
Frankenbuffer writes "The Globe and Mail today reports that MIT researchers have developed a computer program to analyze pop music and predict how people will react to it. The method, developed at MIT's Media Laboratory, analyzes the pitch, rhythm, and other characteristics of music. What makes the technology unusual is that it also takes into account social responses to hit music gathered from weblogs, chat rooms, music reviews, and other online discussions, and correlates this data to the music to guage the popularity of a particular sound. According to the researchers, the software has accurately predicted Billboard hits for the past several months."
the record labels are going to get ahold of this and turn it around to actually produce the music. then it will all sound the same.
wait....
...welcome our robotic taste-shaping overlords.
... if the fed Miles Davis' Bitches Brew into this.
:-)
Darn thing would BSOD right on the spot, I'll bet.
"Only two things are infinite, the universe and human stupidity, and I'm not sure about the former."
According to the researchers, the software has accurately predicted Billboard hits for the past several months.
... maybe I'm in the wrong business.
Hell, I can do that. My friends have noticed that, for a long time, any piece of popular music that I can't stand to hear becomes a hit. Hm
The higher the technology, the sharper that two-edged sword.
I guess that means it has been in active use for YEARS already.
HI O WISE PRINCE. WHT TOOK U SO DAM LONG?
for up-and-coming artists? Music companies will be able to use this to pay artists less because the computer doesn't like their music.
MAL (Music AnaLyzer): "I'm sorry Dave, I'm afraid I don't like that."
"Scud Storm!" -- Jeremy of PurePwnage.com
If that's the case, the results may look a little like google. For example, a review of Gwen Steffani's new album: An upbeat, poppy sound, Gwen Steffani nude, Gwen Steffani fakes, free nude Gwen Steffani pictures, free nude celebrities, with more complexity than her previous albums.
I wrote a predictor too. It's a neural net, actually.
int music_predictor(int artist_type,float rhythm, int genre, int tempo, int male_or_female, int quality, int singing_quality, int band_quality, int number_of_band_members) {
if (artist_type == BIG_NAME_POP_ARTIST_WITH_STUDIO_BACKING)
return true;
else
return false;
}
Ok, so it's a one-axon neural net. But it gets 99%+ accuracy.
The secret to success is apparently: more cowbell.
Did you know you can fertilize your lawn with used motor oil?
Maybe he wanted to emphasize the gory part
When the Play button was pressed it made an instant but highly detailed examination of the subject's music-appreciation buds, a spectroscopic analysis of the subject's metabolism and then sent tiny experimental signals down the neural pathways to the hearing centres of the subject's brain to see what was likely to go down well. However, no one knew quite why it did this because it invariably delivered three minutes of sound that was almost, but not quite, entirely unlike Britney Spears.
Call me old fashioned, but I like a dump to be as memorable as it is devastating - Bender
Yeah, really. How far do you think the Enterprise D would have gone at the end of the premiere episode "Encounter at Farpoint", if Captain Picard had raised a finger towards the viewscreen and said, "Lets see what this Galaxy Class starship can do! Enguage!"
The higher the technology, the sharper that two-edged sword.
" if Bitchney Spears hasn't managed to kill it yet, then an automated tool to create a "perfect hit" won't do so, either."
Bitchney Spears? That's so 3rd grade. Britney Spheres is so much more clever*.
* despite that it came from SNL...
"Derp de derp."
"Indie pop", is this like "jumbo shrimp", "military intelligence", and "Microsoft Works"?
Please, for the good of Humanity, vote Obama.
Some of the lamest most predictable "funny" comments are in this thread. People you're not funny.
eTrade SUCKS
ALSO FIREFOX 4 LIFE
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