Speech enhancement using a switching Kalman filter with a perceptual post-filter

In this paper, a switching Kalman filter (SKF) with a generalized pseudo Bayesian (GPB) algorithm of order 1 is applied to the problem of speech enhancement. It is proposed to use the masking properties of human auditory systems as a perceptual post-filter concatenated with the GPB algorithm. Experiments show that the proposed algorithm can achieve an improvement both in terms of speech quality (PESQ score, ITU-T P.862) and of word recognition rate at low SNR.