I recently gave a talk on Data Mining Music at SXSW. It was a standing room only session, with an enthusiastic audience that asked great questions. It was a really fun time for me. 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. There was lots of music in the talk, but unfortunately, it is not in the Slideshare PDF. The links below should flesh out most of the details and have some audio examples.
- Have artist names been getting longer?
- The Passion Index – Find the bands that have the most passionate fans
- Six Degrees of Black Sabbath – Using artist relationship data to build a Six Degrees of Kevin Bacon for Music
- Frog-based playlisting – Building advanced playlists by finding paths through the artist space
- The Click Track Detector – Finding drummers that use a click track
- Looking for the Slow Build – Finding songs that have a gradual build
- Bohemian Rhapsichord – Turning a popular song into a musical instrument, with data.
- Midem Music Machine – Making a beautiful visualization of music
- The Swinger – Making any song swing
Thanks to everyone who attended.