Source separation using regularized NMF with MMSE estimates under GMM priors with online learning for the uncertainties
Single channel source separation using nonnegative matrix factorization (NMF). Using MMSE under GMM for regularizing the NMF gains, online estimation of uncertainty. Less sensitive to the regularization parameter. Efficient update rules for gain parameters. Improved results in speechmusic separation experiments.
single channel source separation nonnegative matrix factorization minimum mean square error estimates gaussian mixture models