Fast Noise Suppression Algorithm with Kalman Filter Theory

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.