Adaptive noise estimation based on non-negative matrix factorization

Abstract

. In this paper, an adaptive noise estimation technique is proposed on the basis of non-negative matrix factorization (NMF). As an initial step of the proposed method, the noise basis matrix of NMF is estimated from a collection of noise signals. Then, the proposed method updates the initially estimated noise basis matrix on the fly by using an estimate of the noise spectrum from the noisy signal. It is here demonstrated that the proposed method provides a better noise estimate than a NMF-based method without using any adaptation, especially when there is a mismatch in noise conditions for noise basis training and estimation using NMF.