Name
Title | ||
|---|---|---|
Robustness metric-based tuning of the augmented Kalman filter for the enhancement of speech corrupted with coloured noise. |
Abstract | ||
|---|---|---|
•Proposed method reduces Kalman filter estimation bias caused by noisy speech input.•The Kalman filter gain is adaptively and dynamically tuned by a robustness metric.•The proposed method is significantly preferred over the other treatment types. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.specom.2018.10.002 | Speech Communication |
Keywords | Field | DocType |
Robustness metric,Kalman filter,Speech enhancement | Speech corpus,Pattern recognition,Computer science,Coloured noise,Poor speech,Oracle,Speech recognition,Robustness (computer science),Kalman filter,Artificial intelligence,Residual noise,Recursion | Journal |
Volume | ISSN | Citations |
105 | 0167-6393 | 0 |
PageRank | References | Authors |
0.34 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aidan E. W. George | 1 | 4 | 0.75 |
| Stephen So | 2 | 113 | 13.37 |
| Ratna Ghosh | 3 | 10 | 2.34 |
| Kuldip K. Paliwal | 4 | 74 | 6.27 |