Efficient recursive estimation for speech enhancement in colored noise

A recursive estimation to enhance speech additively contaminated by colored noise is proposed. This method is based on the Kalman filter with time-varying modeling of the clean speech signal. Then, a hidden filter model is used to model the clean speech signal. An improvement of approximately 4.3 dB and 3.2 dB in signal-to-noise ratio (SNR) is achieved at 10 dB and 15 dB input SNR, respectively.