With thousands of fans, college basketball games can be almost deafeningly loud. Some arenas have decibel meters, which can provide some indication of the noise generated. Researchers at Brigham Young University wanted to see whether machine learning algorithms could pick out patterns within the raw acoustical data that indicated the crowd's mood, thereby providing clues as to what was happening in the game itself. They'll present at the Acoustical Society of America's 176th Meeting, Nov. 5-9.
Brooks Butler, Eric Todd, Mylan Cook, Mark Transtrum and Kent Gee