Last month Last.fm contributed a massive set of tag data to the Million Song Data Set. Midem Music Machine – Making a beautiful visualization of music.Bohemian Rhapsichord – Turning a popular song into a musical instrument, with data.Looking for the Slow Build – Finding songs that have a gradual build.The Click Track Detector – Finding drummers that use a click track.Frog-based playlisting – Building advanced playlists by finding paths through the artist space.Six Degrees of Black Sabbath – Using artist relationship data to build a Six Degrees of Kevin Bacon for Music.The Passion Index – Find the bands that have the most passionate fans.The links below should flesh out most of the details and have some audio examples. There was lots of music in the talk, but unfortunately, it is not in the Slideshare PDF. I’ve posted the slides to Slideshare, but be warned that there are no speaker notes so it may not always be clear what any particular slide is about. ![]() It was a standing room only session, with an enthusiastic audience that asked great questions. ![]() I recently gave a talk on Data Mining Music at SXSW.
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