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Speech Enhancement with Multivariate Laplace Speech Model
2013
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
The paper presents a new short-time spectrum estimation algorithm for speech enhancement. A novel multivariate Laplace speech model is utilized to characterize the dependencies between adjacent DFT coefficients of speech, based on which a minimum mean-square error (MMSE) estimator of speech spectral components is derived. Moreover, the speech presence uncertainty is incorporated to modify the MMSE estimator. Experimental results show that the developed algorithm achieves better noise
doi:10.3724/sp.j.1146.2011.01312
fatcat:7u5l4dkwmbhwbmer2zrfyo5ieq