Can a computer be taught to automatically label every song on the Internet using sets of examples provided by unpaid music fans?
University of California, San Diego engineers have found that the answer is yes, and the results are as accurate as using paid music experts to provide the examples, saving considerable time and money.
solution, called “game-powered machine learning,” would enable music
lovers to search every song on the Web well beyond popular hits, with a
simple text search using key words like “funky” or “spooky electronica.”
Read the whole story here: