Interference reduction in music recordings combining Kernel Additive Modelling and Non-negative Matrix Factorization
Published in International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Recommended citation: Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, and Mark B. Sandler, Interference reduction in music recordings combining kernel additive modelling and non-negative matrix factorization, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017, pp. 51–55 [paper]
In this paper we introduce machine learning in the KAM framework.