Name
Abstract | ||
|---|---|---|
In this paper, we investigate the benets of using an adaptive seg- mentation of the speech signal in speech enhancement. The adap- tive segmentation scheme divides the signal into the longest seg- ments within which stationarity is preserved, thus providing a good time-frequency resolution. The segmentation is performed with the help of an orthogonal library of local cosine bases using a compu- tationally efcient tree-structured best-basis search. We show that such an adaptive segmentation results in improved speech enhance- ment compared to a x ed segmentation. The resulting enhanced speech is free from musical noise, without any additional smooth- ing. |
Year | Venue | Keywords |
|---|---|---|
2004 | INTERSPEECH | tree structure,time frequency,time domain |
Field | DocType | Citations |
Speech enhancement,Time domain,Signal processing,Pattern recognition,Computer science,Segmentation,Speech recognition,Artificial intelligence | Conference | 5 |
PageRank | References | Authors |
0.63 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sriram Srinivasan | 1 | 379 | 27.92 |
| W. Bastiaan Kleijn | 2 | 1110 | 106.92 |