9th Annual Conference of the International Speech Communication Association

Brisbane, Australia
September 22-26, 2008

Regularized Non-Negative Matrix Factorization with Temporal Dependencies for Speech Denoising

Kevin W. Wilson (1), Bhiksha Raj (1), Paris Smaragdis (2)

(1) Mitsubishi Electric Research Labs, USA; (2) Adobe Systems, USA

We present a technique for denoising speech using temporally regularized nonnegative matrix factorization (NMF). In previous 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 implementation.

Full Paper

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.