Fast Noise Suppression Algorithm with Kalman Filter Theory

@article{Tanabe2008FastNS,
  title={Fast Noise Suppression Algorithm with Kalman Filter Theory},
  author={Nari Tanabe and Toshihiro Furukawa and Shigeo Tsujii},
  journal={2008 Second International Symposium on Universal Communication},
  year={2008},
  pages={411-415}
}
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… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

References

Publications referenced by this paper.
Showing 1-8 of 8 references

Robust Noise Suppression Algorithm with Kalman Filter Theory for White and Colored Disturbance,

  • N. Tanabe, T. Furukawa, S. Tsujii
  • IEICE Trans. Fundamentals, vol.E91-A,
  • 2008
Highly Influential
10 Excerpts

Numerical Methods with Matlab: A Resource for Scientists and Engineers

  • G. J. Borse
  • Thomson Learning Press
  • 1996

Similar Papers

Loading similar papers…