Individuals' music collections that are stored on a computer, whether legal or not, are often quite large and consist of many different artists. This unique research paper from Hewlett-Packard outlines a system that can automatically identify the singer of a song based upon digital samples of that song, allowing for hassle-free sorting of many titles. The system is first trained by exposing it to a representative sample of songs from a wide range of artists. Then, by extracting sound features from different songs and analyzing them, the software can make a best guess as to which artist is singing. The system is shown to have an accuracy of 80 percent when trained with a single song for eight singers and tested on 45 other songs by the same singers.