Name
Abstract | ||
|---|---|---|
Noise statistics estimation is a paramount issue in the design of reliable noise-reduction algorithms. Although significant efforts have been devoted to this problem in the literature, most developed methods so far have focused on the single-channel case. When multiple microphones are used, it is important that the data from all the sensors are optimally combined to achieve judicious updates of the noise statistics and the noise-reduction filter. This contribution is devoted to the development of a practical approach to multichannel noise tracking and reduction. We combine the multichannel speech presence probability (MC-SPP) that we proposed in an earlier contribution with an alternative formulation of the minima-controlled recursive averaging (MCRA) technique that we generalize from the single-channel to the multichannel case. To demonstrate the effectiveness of the proposed MC-SPP and multichannel noise estimator, we integrate them into three variants of the multichannel noise reduction Wiener filter. Experimental results show the advantages of the proposed solution. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TASL.2011.2118205 | IEEE Transactions on Audio, Speech & Language Processing |
Keywords | Field | DocType |
earlier contribution,noise statistics estimation,proposed solution,multichannel speech presence probability,proposed mc-spp,noise statistic,multichannel noise reduction,integrated solution,online multichannel noise tracking,multichannel case,noise tracking,multichannel noise estimator,probability,estimation theory,noise measurement,speech processing,indexing terms,noise reduction,wiener filter,speech,signal to noise ratio,estimation | Noise reduction,Wiener filter,Speech processing,Noise measurement,Computer science,Signal-to-noise ratio,Microphone array,Speech recognition,Estimation theory,Estimator | Journal |
Volume | Issue | ISSN |
19 | 7 | 1558-7916 |
Citations | PageRank | References |
40 | 1.84 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Souden | 1 | 96 | 5.91 |
| Jingdong Chen | 2 | 1460 | 128.79 |
| Jacob Benesty | 3 | 1941 | 146.01 |
| S. Affes | 4 | 465 | 38.31 |