Rayleigh mixture model-based hidden Markov modeling and estimation of noise in noisy speech signals
In this paper, we propose a new statistical model for noise periodogram modeling and estimation. The proposed model is a hidden Markov model (HMM) with a Rayleigh mixture model (RMM) in each state. For this new model, we derive an expectation-maxinuzation (EM) training algorithm and a minimum meansquare error (NIMSE) noise periodogram estimator. It is shown that when compared to the Gaussian mixtu