Post-its and Ponderings
A middle school teacher's thoughts on science, technology and learning

Sunday, November 11, 2007

Music Genome Project & Pandora

This is pretty cool... no, make that AWESOME. A (new) student of mine told me about Pandora, since his father is involved with the project somehow. You can listen for free for about 5 - 10 minutes, and then you have to register to continue listening. You only have to pay the $36 annual subscription if you want it on your cell phone or to use the site ad-free. Otherwise it is FREE (ad-supported). You can navigate through the choices it makes, help "train" the station, and there is even a direct link to iTunes or Amazon to buy songs you like! In just 10 minutes, I was introduced to two more bands that interested me. (I started with a "Beastie Boys"

On January 6, 2000 a group of musicians and music-loving technologists came together with the idea of creating the most comprehensive analysis of music ever.

Together we set out to capture the essence of music at the most fundamental level. We ended up assembling literally hundreds of musical attributes or "genes" into a very large Music Genome. Taken together these genes capture the unique and magical musical identity of a song - everything from melody, harmony and rhythm, to instrumentation, orchestration, arrangement, lyrics, and of course the rich world of singing and vocal harmony. It's not about what a band looks like, or what genre they supposedly belong to, or about who buys their records - it's about what each individual song sounds like.

Since we started back in 2000, we've carefully listened to the songs of tens of thousands of different artists - ranging from popular to obscure - and analyzed the musical qualities of each song one attribute at a time. This work continues each and every day as we endeavor to include all the great new stuff coming out of studios, clubs and garages around the world.

This Music Genome Project is an effort ... to "capture the essence of music at the fundamental level" using over 400 attributes to describe songs and a complex mathematical algorithm to organize them."