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In allusion to the estimation problem of priori signal to noise ratio parameter in sound enhancement, by using Gaussian statistical model, a novel estimation algorithm for a priori signal to noise ratio was proposed in frequency domain. The presented algorithm with MMSE (Minimum Mean Square Error) computes directly the spectrum of the clean sound component to obtain the estimated priori signal to...
A improved algorithm named MTSNR(Modified TSNR) in DCT domain was proposed in this paper. At the second step in original TSNR with assumption of Gaussian model in the signal, this method used MMSE(Minimum Mean Square Error) technique to estimate the prior SNR at current speech frame. The proposed approach is simple and fast and requires no any prior condition on the gain function of the speech enhancement...
A novel approach for Laplacian factor estimation is presented based on the property of generalized Gaussian distribution model and its shape parameter. The proposed approach can indirectly obtain the estimation of the Laplacian factor using its relation with the variance of pure sound components under the Laplacian distribution presumption, thus the method is simple. The algorithm can eliminate the...
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