Nonstationary environment compensation based on sequential estimation
Nam Soo Kim · IEEE Signal Processing Letters · 1998
Sequential approaches are proposed to compensate for the effects of the nonstationary environment for robust speech recognition. Unlike the batch approaches, the proposed methods derive a different parameter estimate for each time using the sequential expectation maximization (EM) algorithm. Moreover, we also propose the forward-backward estimation scheme as an improvement of the sequential parameter estimation.