This paper proposes a technique for estimating speech parameters in noisy environment. The technique uses a spectral model represented by generalized cepstrum. Parameter estimation is based on maximum a posteriori (MAP) estimation. An iterative approach which has been formulated for all-pole modeling is applied to the generalized cepstral modeling. Since the generalized cepstral model includes the all-pole model as a special case, the technique can be viewed as a generalization of the all-pole modeling based on MAP estimation. The proposed technique is applied to the enhancement of speech and several experimental results are also shown.

Keywords: Generalized Cepstrum, MAP Estimation, Speech Enhancement, Speech Analysis