Name
Abstract | ||
|---|---|---|
Speech Enhancement aims at denoising a noisy speech signal and to extract the clean speech. In this work, nonstationary periodic noise is regarded. The coefficient energy distribution of a period of noise is analyzed by a Period Wavelet Packet transform. This transform can analyze signals of arbitrary (non-dyadic) length. The estimated coefficient energy distribution can be used as a threshold for wavelet thresholding techniques. The efficiency of the algorithm and its sensitivity to period variations is evaluated. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.3182/20070829-3-RU-4911.00071 | IFAC Proceedings Volumes |
Keywords | Field | DocType |
signal processing,filtering,filter banks,non-stationary signals,speech | Noise reduction,Speech enhancement,Signal processing,Pattern recognition,Filter (signal processing),Speech recognition,Artificial intelligence,Noise energy,Wavelet packet decomposition,Periodic graph (geometry),Mathematics,Energy distribution | Conference |
Volume | Issue | ISSN |
40 | 13 | 1474-6670 |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Weickert | 1 | 6 | 0.89 |
| Uwe Kiencke | 2 | 22 | 5.86 |