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Efficient recursive estimation for speech enhancement in colored noise

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2 Author(s)
Ki Yong Lee ; Changwon Nat. Univ., Kyungnam, South Korea ; Shirai, K.

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.

Published in:

Signal Processing Letters, IEEE  (Volume:3 ,  Issue: 7 )