Name
Title | ||
|---|---|---|
A Bilinear Framework For Adaptive Speech Dereverberation Combining Beamforming And Linear Prediction |
Abstract | ||
|---|---|---|
Speech dereverberation algorithms based on multichannel linear prediction (MCLP) are effective under various acoustic conditions. This paper proposes a bilinear form for the MCLP based dereverberation, where the MCLP filter is expressed as a Kronecker product of a spatial filter and a temporal filter. Then, a recursive least-squares (RLS)-based algorithm is derived for adaptive speech dereverberation. Compared with the original MCLP-based adaptive algorithm, the advantages of the proposed method are twofold: (1) the computational complexity is significantly reduced and is more suitable for dynamic scenarios, since fewer parameters have to be estimated per signal-block observation; and (2) it is more robust to noise by optimizing the spatial filter as a weighted minimum power distortionless response (wMPDR) beamformer. Simulation results validate the advantages of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/IWAENC53105.2022.9914728 | 2022 International Workshop on Acoustic Signal Enhancement (IWAENC) |
Keywords | DocType | ISBN |
Dereverberation,multichannel linear prediction,beamforming,Kronecker product filtering,recursive least-squares (RLS) algorithm | Conference | 978-1-6654-6868-8 |
Citations | PageRank | References |
0 | 0.34 | 20 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenxing Yang | 1 | 0 | 0.34 |
| Gongping Huang | 2 | 76 | 13.39 |
| Andreas Brendel | 3 | 0 | 0.34 |
| Jingdong Chen | 4 | 1460 | 128.79 |
| Jacob Benesty | 5 | 1386 | 136.42 |
| Walter Kellermann | 6 | 51 | 11.50 |
| Israel Cohen | 7 | 1734 | 121.85 |