Name
Abstract | ||
|---|---|---|
We present a parametric model-based multichannel approach for speech enhancement. By employing an autoregressive model for the speech signal and using a trained codebook of speech linear predictive coefficients, minimum mean square error estimation of the speech signal is performed. By explicitly accounting for steering errors in the signal model, robust estimates are obtained. Experiments show th... |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/LSP.2005.863819 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Speech enhancement,Noise reduction,Noise cancellation,Acoustic noise,Microphones,Sensor arrays,Additive noise,Mean square error methods,Acoustic signal processing,Array signal processing | Speech enhancement,Autoregressive model,Speech coding,Parametric model,Pattern recognition,Computer science,Minimum mean square error,Speech recognition,Parametric statistics,Artificial intelligence,Linear predictive coding,Codebook | Journal |
Volume | Issue | ISSN |
13 | 5 | 1070-9908 |
Citations | PageRank | References |
6 | 0.55 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sriram Srinivasan | 1 | 379 | 27.92 |
| Robert Aichner | 2 | 208 | 16.18 |
| W. Bastiaan Kleijn | 3 | 1110 | 106.92 |
| Walter Kellermann | 4 | 10 | 1.59 |