Name
Title | ||
|---|---|---|
Regularized Non-Negative Matrix Factorization With Temporal Dependencies For Speech Denoising |
Abstract | ||
|---|---|---|
We present a tecchnique 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. |
Year | Venue | Keywords |
|---|---|---|
2008 | INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5 | speech enhancement, source separation, speech modeling, speech processing |
Field | DocType | Citations |
Noise reduction,Wiener filter,Speech enhancement,Speech processing,Speech denoising,Pattern recognition,Computer science,Speech recognition,Regularization (mathematics),Non-negative matrix factorization,Artificial intelligence,Source separation | Conference | 35 |
PageRank | References | Authors |
2.74 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kevin W. Wilson | 1 | 348 | 28.35 |
| Raj, Bhiksha | 2 | 2094 | 204.63 |
| Paris Smaragdis | 3 | 1760 | 134.67 |