I spent last weekend in Cannes, participating in the MIDEM Hack Day – an event where music hackers from around the globe gather to hack on music. My hack is called The Drop Machine. It is a toy web app that plays nothing but the drops…
The interesting bit in this hack is how The Drop Machine finds the drops. I’ve tried a number of different ways to find the drops in the past – for instance, the app Where’s the Drama found the most dramatic bits of music based on changes in music dynamics. This did a pretty good job of finding the epic builds in certain kinds of music, but it wasn’t a very reliable drop detector. The Drop Machine takes a very different approach – it crowd sources the finding of the drop. And it turns out, the crowd knows exactly where the drop is. So how do we crowd source finding the drop? Well, every time you scrub your music player to play a particular bit of music on Spotify, that scrubbing is anonymously logged. If you scrub to the chorus or the guitar solo or the epic drop, it is noted in the logs. When one person scrubs to a particular point in a song, we learn a tiny bit about how that person feels about that part of the song – perhaps they like it more than the part that they are skipping over – or perhaps they are trying to learn the lyrics or the guitar fingering for that part of the song. Who’s to say? On an individual level, this data wouldn’t mean much. The cool part comes from the anonymous aggregate behavior of millions of listeners, from which a really detailed map of the song emerges. People scrub to just before the best parts of the song to listen to them….
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