Fast Noise Suppression Algorithm with Kalman Filter Theory

  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},
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


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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
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