Regularized non-negative matrix factorization with temporal dependencies for speech denoising
Kevin Wilson, Bhiksha Raj, Paris Smaragdis · 2008
We present a tecchnique for denoising speech using temporally regularized nonnegative matrix factorization (NMF). In previ-ous work [1], we used a regularized NMF update to impose structure within each audio frame. In this paper, we add frame-to-frame regularization across time and show that this additional regularization can also improve our speech denoising results. We evaluate our algorithm on a range of nonstationary noise types and outperform a state-of-the-art Wiener filter implemen-tation. Index Terms: speech enhancement, source separation, speech modeling, speech processing