We present a technique for denoising speech using temporally regularized nonnegative matrix factorization (NMF). In previous work , 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 implementation.
Bibliographic reference. Wilson, Kevin W. / Raj, Bhiksha / Smaragdis, Paris (2008): "Regularized non-negative matrix factorization with temporal dependencies for speech denoising", In INTERSPEECH-2008, 411-414.