Speech Communication - Special issue on speech processing in adverse conditions
Speech Enhancement Using Perceptual Wavelet Packet Decomposition and Teager Energy Operator
Journal of VLSI Signal Processing Systems
Wavelet speech enhancement based on time-scale adaptation
Speech Communication
Speech signal enhancement through adaptive wavelet thresholding
Speech Communication
A Laplacian-based MMSE estimator for speech enhancement
Speech Communication
Subjective comparison and evaluation of speech enhancement algorithms
Speech Communication
Springer Handbook of Speech Processing
Springer Handbook of Speech Processing
Bayesian short-time spectral amplitude estimators for single-channel speech enhancement
Bayesian short-time spectral amplitude estimators for single-channel speech enhancement
Minimum Mean-Square Error Estimation of Discrete Fourier Coefficients With Generalized Gamma Priors
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
De-noising by soft-thresholding
IEEE Transactions on Information Theory
Adaptive wavelet thresholding for image denoising and compression
IEEE Transactions on Image Processing
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This paper proposes a speech enhancement approach, which statistically determines an adaptive threshold using the Teager energy operated WP coefficients of noisy speech. The obtained threshold is employed upon the WP coefficients of the noisy speech by employing a modified hard thresholding function. Extensive simulations in the presence of different noises indicate that this new method is very effective for both white noise and color noise reduction from speech, resulting in enhanced speech with better speech quality. Several standard objective measures and subjective observations show that the proposed method outperforms recent state-of-the-art thresholding based approaches from high to low level SNRs.