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Suppression of additive noise using a power spectral density MMSE estimator

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3 Author(s)
Guo-Hong Ding ; High-Tech Innovation Center, Chinese Acad. of Sci., Beijing, China ; Taiyi Huang ; Bo Xu

In this letter, we propose a novel speech enhancement approach, called power spectral density minimum mean-square error (PSD-MMSE) estimation-based speech enhancement, which is implemented in the power spectral domain where stationary stochastic noise can be modeled as the exponential distribution. Speech magnitude-squared spectra are modeled as the mixed exponential distribution. And an MMSE estimator is constructed based on the parametric distributions. Besides, a fast algorithm is presented to implement the approach in real time. Experimental results of Itakura-Saito distortion measures show that the proposed approach is superior to alternative speech enhancement algorithms.

Published in:

Signal Processing Letters, IEEE  (Volume:11 ,  Issue: 6 )

Date of Publication:

June 2004

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