Name
Abstract | ||
|---|---|---|
In this letter, we propose a novel speech enhancement algorithm based on data-driven residual gain estimation. The entire system consists of two stages. At the first stage, a conventional speech enhancement algorithm enhances the input signal while estimating several signal-to-noise ratio (SNR)-related parameters. The residual gain, which is estimated by a data-driven method, is applied to further enhance the signal at the second stage. A number of experimental results show that the proposed speech enhancement algorithm outperforms the conventional speech enhancement technique based on soft decision and the data-driven approach using SNR grid look-up table. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1587/transinf.E94.D.2537 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | DocType | Volume |
speech enhancement, noise reduction, data-driven approach, residual gain estimation | Journal | E94D |
Issue | ISSN | Citations |
12 | 1745-1361 | 0 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Gwang Jin | 1 | 11 | 4.10 |
| Nam Soo Kim | 2 | 275 | 29.16 |
| joonhyuk | 3 | 136 | 26.87 |