Speech enhancement with Gamma speech modeling
Xiongwei Zhang · Journal of Communications · 2006
A new speech enhancement system with Gamma speech modeling was proposed.The clean speech compo-nents 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 distribu-tions.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 pro-posed algorithm yields less residual noise and better speech quality than the Gaussian based speech enhancement algorithms proposed in recent years.