Gaihua Zhao

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In this paper, we present a new speech enhancement algorithm based on generalized Gamma speech model, which is more flexible in capturing the statistical behavior of speech signals than the conventional Gaussian and super-Gaussian speech model. Under the assumption of a generalized Gamma distribution for the clean speech spectral amplitudes and additive(More)
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(More)
Speech enhancement with sparse nonnegative matrix factorization and priors of noise is proposed to enhance speech contaminated by non-stationary noise. The proposed algorithm contains two steps. Firstly, the priori information about the spectrum of noise is modeled using sparse nonnegative matrix factorization algorithm and the dictionary of noise is(More)
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