Speech enhancement with Gamma speech modeling

A new speech enhancement system with Gamma speech modeling was proposed. The clean speech components were estimated by minimum-mean-square-error (MMSE) estimator under the assumption that the clean speech DCT coefficients were modeled by Gamma distributions and the noise DCT coefficients were modeled by Gaussian distributions. Then, the MMSE estimator under speech presence uncertainty and a Gamma model was derived. Furthermore, the noise power was estimated by the IMCRA algorithm with the Gamma model. The simulation results show that the proposed algorithm yields less residual noise and better speech quality than the Gaussian based speech enhancement algorithms proposed in recent years.