huh..? posted by

uPlaya Artists – do ya think your song could be a smash hit?

Uplayaartists

The new uPlaya Artists service lets you upload your own pop song to receive an evaluation of whether it could be a hit. The site uses the Hit Song Science technology which got some press a while back, to determine algorithmically whether your tune has a chance at Top 10 glory. It’s all lovely until you realise they’re also offering to help you market your song for a price, at which point the scoring feature becomes a little hmmm……

I uploaded the Trails song I created using Musicshake a while back and got a Silver Auddy 6.7 score – ‘This song could become a hit with some fine tuning and some promotion’. Hmm…handy that.

Anyway the upload and eval is free of charge, so probably worth doing for a giggle if nothing else. The site promises to introduce a bunch more community and artist services going forward, so who knows we may indeed see a smash hit emerge sometime soon. [Via Metafilter]

 We use artificial intelligence applications as well as other methods to analyze the underlying mathematical patterns in music. Our technology does something called spectral deconvolution which is a fancy way of saying that we can isolate and separate many musical events that occur in a song. Some of these events are patterns in melody, harmony, chord progression, brilliance, fullness of sound, beat, tempo, rhythm, octave, and pitch. We then compare the patterns in new music (yours for example) to patterns in hit songs. By doing this combined with other mathematical calculations we’ve been able to develop a highly accurate and scientific tool. While this may sound like science fiction, keep in mind that we are working for major and independent labels on both side of the Atlantic who trust and use our results to make decisions.

Comments are closed.

comments powered by Disqus

Side Advert

Write For Us

Personnel

Managing Editor:
Nigel Powell

Associate Editor:
Caitlyn Muncy
Associate Editor:
Dan Ferris
Ecological Editor:
Debra Atlas
Technology Editor:
Fritz Effenberger
Asian Editor:
Hu Ping
Reviews Editor:
Kevin Evans

FB Like Box