Independent low-rank matrix analysis based on generalized Kullback–Leibler divergence ∗

Abstract

In this letter, we propose a new blind source separation method, independent low-rank matrix analysis based on generalized Kullback–Leibler divergence. This method assumes a time-frequency-varying complex Poisson distribution as the source generative model, which yields convex optimization in the spectrogram estimation. The experimental evaluation confirms the proposed method’s efficacy.