Name
Abstract | ||
|---|---|---|
In this paper, a residual echo cancellation method is proposed that uses an estimation of the minimum mean-square error ( MMSE) based on a statistical model of a speech signal and an echo signal. After the suppression of the echo signal based on the adaptive filter, residual echo is further reduced by the proposed MMSE estimator and the results are compared with the conventional Wiener filter based method. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1587/elex.4.762 | IEICE ELECTRONICS EXPRESS |
Keywords | Field | DocType |
acoustic echo cancellation, residual echo, MMSE, Wiener filtering | Wiener filter,Residual,Computer science,Speech recognition,Statistical model,Adaptive filter,Estimator | Journal |
Volume | Issue | ISSN |
4 | 24 | 1349-2543 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joon-Hyuk Chang | 1 | 263 | 21.87 |
| Hyoung-Gon Kim | 2 | 164 | 20.34 |
| Sangki Kang | 3 | 1 | 3.06 |