With thousands of fans, college basketball games can be almost deafening. Some arenas have decibel meters, which can provide some indication of the noise generated. Researchers 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.