Optimal cost function and magnitude power for NMF-based speech separation and music interpolation
Brian King, Cédric Févotte, Paris Smaragdis · 2012
There has been a significant amount of research in new algorithms and applications for nonnegative matrix factorization, but relatively little has been published on practical considerations for real-world applications, such as choosing optimal parameters for a particular application. In this paper, we will look at two applications, single-channel source separation of speech and interpolating missing music data. We will present the optimal parameters found for the experiments as well as discuss how parameters affect performance.