Spectro-temporal modeling of harmonic magnitude tracks for music source separation

Resolving overlapping harmonics remains a persistent and unsolved issue when separating individual sources from a single channel mixture of harmonic musical instruments. In this paper we present a novel method for resolving overlapping harmonics using a harmonic magnitude track prediction model, which exploits the spectro-temporal correlations that exist between instrument harmonics. The performance of the model is evaluated against other approaches and is shown to provide better and more robust estimates of the harmonic magnitudes as a function of time.