Posts Tagged qmul
Steve Lloyd of Queen Mary University has released SongBite for Songbird. (Update – if the link is offline, and you are interested in trying SoundBite just email firstname.lastname@example.org ). SongBite is a visual music explorer that uses music similarity to enable network-based music navigation and to create automatic “sounds like” playlists.
Here’s a video that shows SoundBite in action:
It’s a pretty neat plugin for Songbird. It’s great to see yet another project from the Music Information Retrieval community go mainstream.
Be sure to check out the new MIR blog Divisible by Zero by Queen Mary PhD Student Rebecca Stewart. Becky is particularly interested in using spatial audio techniques to enhance music discovery. I find her first post You want the third song on the left to be quite interesting. She’s using a spatially-enabled database to manage fast lookups of similar tracks that have been positioned in a 2D space using LDMS. This is a really neat idea. It turns a problem that can be particularly vexing into a simple SQL query.
I hope Becky will continue to write about this project in her blog. I’m particularly interested in learning how well the spatial database scales to industrial-sized music collections, what her query times are and how the LDMS/GIS similarity compare to results using a brute force nearest neighbor distance calculation on the feature vectors. – (via Ben Fields)