Name
Abstract | ||
|---|---|---|
We have proposed a robust noise suppression algorithm with Kalman filter theory. In this paper, we propose a Kalman filter based fast noise suppression algorithm for white and colored disturbance. The algorithm aims to achieve robust noise suppression with reduced computational complexity without sacrificing high quality of speech signal, by modifying the proposed canonical space model. We show the effectiveness of the proposed fast noise suppression algorithm using numerical and subjective evaluation results. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISUC.2008.34 | ISUC |
Keywords | Field | DocType |
subjective evaluation result,kalman filter theory,speech signal,robust noise suppression algorithm,fast noise suppression algorithm,reduced computational complexity,high quality,proposed fast noise suppression,proposed canonical space model,robust noise suppression,speech processing,computational complexity,white noise,noise,kalman filter,colored noise,speech,noise measurement,mathematical model,kalman filters,state space model | Speech processing,Colored,Extended Kalman filter,Noise suppression,Fast Kalman filter,Computer science,Algorithm,Kalman filter,White noise,Computational complexity theory | Conference |
Citations | PageRank | References |
1 | 0.63 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nari Tanabe | 1 | 5 | 1.95 |
| Toshihiro Furukawa | 2 | 52 | 22.17 |
| Shigeo Tsujii | 3 | 598 | 131.15 |