Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Speech enhancement by map spectral amplitude estimation using a super-Gaussian speech model
EURASIP Journal on Applied Signal Processing
Minimum Mean-Square Error Estimation of Discrete Fourier Coefficients With Generalized Gamma Priors
IEEE Transactions on Audio, Speech, and Language Processing
Evaluation of Objective Quality Measures for Speech Enhancement
IEEE Transactions on Audio, Speech, and Language Processing
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This paper presents an approach for speech enhancement based on the Bayesian estimator. The cost function in logarithmic domain of the Bayesian estimator is weighted by psychoacoustically motivated speech distortion measure. This weighted cost function exploits the generalized Gamma distributed speech priors under speech presence probability. The experimental results show that the proposed method provides better perception in speech quality compared to state-of-the-art speech enhancement approaches.