Name
Title | ||
|---|---|---|
Fast distributed multichannel speech enhancement using novel frequency domain estimators of magnitude-squared spectrum |
Abstract | ||
|---|---|---|
The first figure shows that two proposed estimators (MMSE-MSS and MAP-MSS) achieve higher noise reduction and less speech distortion than two existing estimators (Subspace and MMSE-STSA). The second figure shows that increasing the number of microphones not only reduces noise but also has less signal distortion by the proposed MMSE-MSS estimator and MAP-MSS estimator. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.specom.2015.05.004 | Speech Communication |
Keywords | Field | DocType |
Multichannel speech enhancement,Amplitude and phase estimator,Minimum mean square error,Maximum a posterior | Speech enhancement,Frequency domain,Background noise,Square (algebra),Colors of noise,Computer science,Minimum mean square error,Speech recognition,Amplitude,Estimator | Journal |
Volume | ISSN | Citations |
72 | 0167-6393 | 2 |
PageRank | References | Authors |
0.36 | 22 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingxian Tu | 1 | 2 | 1.03 |
| Youshen Xia | 2 | 1795 | 123.60 |