Performance Independent Melody Recognition Computer Science, 2001-02

Liaison(s): Nicholas Seet ’99
Advisor(s): Robert Keller
Students(s): Jason Yelinek (TL), Matt Brubeck, Joshdan Griffin, Eric Huang

The team has developed software that identifies songs based on monophonic audio performances of the song, and has reported on research toward the more difficult problem of recognizing songs from polyphonic performances. This software is intended to complement Auditude’s existing technology that recognizes commercially recorded performances in real time.