From a Queen song to a better music search engine (w/Video)

At a recent IEEE technology conference, UC San Diego electrical engineers presented a solution to their problem with the song "Bohemian Rhapsody,"—and it's not that they don't like this hit from the band Queen. The electrical engineers' issue with "Bohemian Rhapsody" is that it is too heterogeneous. With its mellow piano, falsetto vocals, rock opera sections and crazy guitar solos, Bohemian Rhapsody is so internally varied that machine learning algorithms at the heart of their experimental music search engine have trouble labeling the song. The solution presented at the 2009 International Conference on Acoustics, Speech, and Signal Processing (ICASSP) in Taiwan could lead to improvements in the electrical engineers' song labeling and search engine system.

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<p><a href="http://www.physorg.com/news161607335.html">From a Queen song to a better music search engine (w/Video)</a></p> <p>At a recent IEEE technology conference, UC San Diego electrical engineers presented a solution to their problem with the song "Bohemian Rhapsody,"—and it's not that they don't like this hit from the band Queen. The electrical engineers' issue with "Bohemian Rhapsody" is that it is too heterogeneous. With its mellow piano, falsetto vocals, rock opera sections and crazy guitar solos, Bohemian Rhapsody is so internally varied that machine learning algorithms at the heart of their experimental music search engine have trouble labeling the song. The solution presented at the 2009 International Conference on Acoustics, Speech, and Signal Processing (ICASSP) in Taiwan could lead to improvements in the electrical engineers' song labeling and search engine system.</p>