Speech enhancement method based on wavelet transform and Kalman filters

Using Kalman filter model based on wavelet transform, an efficient speech enhancement algorithm is proposed aiming at the speech signal with additive noise. Dyadic wavelet transform, parameter estimation for Kalman filter model and the divergence of Kalman filter are analyzed in detail. The quality of the resulting enhanced speech is evaluated by means of signal to noise ratio (SNR). Simulation results indicate that the proposed method is valid under white Gaussian noise and colored noise.