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."

Comments

great...

[esoteric0]

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....

Re:great...

[ScrewMaster]

I can just see Sonda Bullock and Sylvester Stallone discussing this over nachos at Taco Bell:

Stallone: "You know, it's odd that all your music sounds like Britney Spears."

Bullock: "Well, after the Great DRM Wars of 2030, all music is Britney Spears."

Stallone: "Oh my God!"

Indie Artists

[punkdigerati]

Can Independant artists who want to see how well their songs are going to do be able to use this software for themselves?

Re:Indie Artists

[ianjk]

Remember, this is for analysis of "pop" music. Kind of a contrast from what most indie artists are shooting for.

More targetted version

[kebes]

I'm not sure I care whether or not this software can predict the next pop craze... but I wouldn't mind a more personalized version. Maybe something that analyzes my mp3 collection, and then automatically checks new releases and looks for tracks that correlate well with my preferences? It would be nice to have a system that pulls out the things I'm most interested in. And a piece of software would be more impartial than the media executives and promoters who want to sell me the "next big sound."

I think lots of people would love something like that. If iTunes automatically integrated technology like that, I think it would be a hit. And best of all, it would level the playing field. Small bands could "get noticed" by the common person if their sound was something that the given person liked.

Re:More targetted version

[dduardo]

Try pandora.com. Enter a band or song you like and it will find similar music. Also, if you look inside the cache folder you'll find mp3s of all the songs you've heard through the site.

So what's the big deal?

[ScrewMaster]

According to the researchers, the software has accurately predicted Billboard hits for the past several months.

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 ... maybe I'm in the wrong business.

What does this mean...

[SeanMon]

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."

I wrote one too

[ShakaUVM]

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.

Oh, let me say it this time!

[pegr]

Dupe! ;)

Re:Oh, let me say it this time!

[Andy_R]

Dupe of a dupe, actually

Greg Egan wrote a story somewhat along these lines

[joe user jr]

Excerpt:

When they started making music straight from the Azciak Polls, everybody howled about the Death of Art -- as if the process was anything new, anything more than an efficient closure of what had been happening for years. Groups were already assembled on the basis of elaborate market research. The Azciak Probes were already revealing people's tastes in breakfast cereals, politicians, and rock stars. Why not scan the brains of the populace, discover precisely what music they'd be willing to pay for, and then manufacture it -- all in a single, streamlined process, with no human intervention required? From the probes buried in a random sample of twenty thousand representative skulls, to the construction of the virtual bands (down to mock biographies, and all the right birthmarks and tattoos), to the synthesis of photorealist computer-animated videos, accessible for a suitable fee ... the music industry had finally achieved its long-cherished goal: cutting out everyone but the middleman.

Ok, a little less prosaic than the item under discussion, but an interesting read...

Read the whole story, at: http://www.infinityplus.co.uk/stories/worth.htm

If you're interested, Greg Egan's site: http://gregegan.customer.netspace.net.au/

The most stunning revelation

[Rolo Tomasi]

The secret to success is apparently: more cowbell.