Identifying Cover Songs from Audio Using Harmonic Representation
Kyogu Lee · 2006
This extended abstract describes in detail a submission to the task on Audio Cover Song in the Music Information Retrieval eXchange in 2006. The system uses as feature set a chord sequence identified by an HMM trained with audiofrom-symbolic data, and computes a distance between two chord sequence pair using the Dynamic Time Warping algorithm to find the minimum alignment cost. The rational behind the system is that cover songs largely preserve harmonic content even if they vary in other musical attributes such as instrumentation, tempo, key, and/or melody.