September 1, 2009
Program sorts music based on beat, tempo
Computer scientists in Taiwan say they've developed a neural network computer program that can classify computerized music based on its beat and tempo.
Mao-Yuan Kao and Chang-Biau Yang of National Sun Yat-sen University in Kaohsiung and Shyue-Horng Shiau of Chang Jung Christian University in Tainan said their system could assist music archivists with an automated approach that assigns a genre to each tune.They said their artificial neural network is a type of computer model that mimics the behavior of clusters of brain cells. The researchers
playthe music file to the neural network, which analyzes the beat and tempo and outputs a general musical genre.
The team said it has so far tested the program on a collection of several hundred ballroom dance music files. They said their system classified different music styles, such as cha-cha-cha, jive, quickstep and tango, with varying degrees of success. The cha-cha-cha was the most accurately categorized. Paradoxically, the researchers said the neural network could successfully classify a Viennese waltz, but not a standard waltz.
The research appears in the International Journal of Intelligent Information and Database Systems.