Title :
Efficient recursive estimation for speech enhancement in colored noise
Author :
Lee, Ki Yong ; Shirai, Katsuhiko
Author_Institution :
Changwon Nat. Univ., Kyungnam, South Korea
fDate :
7/1/1996 12:00:00 AM
Abstract :
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.
Keywords :
Kalman filters; filtering theory; noise; recursive estimation; speech enhancement; time-varying filters; 10 dB; 15 dB; Kalman filter; clean speech signal; colored noise; hidden filter model; input SNR; recursive estimation; signal-to-noise ratio; speech enhancement; time-varying modeling; Colored noise; Filters; Hidden Markov models; Mean square error methods; Recursive estimation; Signal to noise ratio; Speech enhancement; State estimation; Stochastic processes; White noise;
Journal_Title :
Signal Processing Letters, IEEE
