Sorry for the absence of posts in the past few days but in that time I have been gathering up some interesting content to share. Last week I discussed Panora and its use of algorithms to predict what a listeners music taste is and what music they might like. This week I found an NPR article in a similar vein. The article starts with the following:
Many of us like to believe that there’s a little magic behind the making of a hit single. Take a song like “I Gotta Feeling” by The Black Eyed Peas. That’s a good song, judging by sales: It’s on top of the Billboard pop chart. David Meredith, CEO of Music Intelligence Solutions, says there’s no magic in that; it’s math. His software, called Hit Song Science, gave the song a hit score of 8.9 out 10.
To futher validate this software, a study conducted by the Harvard Business School found that the software was accurate 8 out of 10 times.
While this software is certainly an intersting innovation, again, I am skeptical to believe that algorithms can analyze the essence of a “good” or “popular” song. I will not go as far as musician Kim Tuvim to say that songs come from a mysterious place in the unconscious, but I do think that music is about novel exploration rather than treading on familar paths.