Noisy speech enhancement using discrete cosine transform
Speech Communication
Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Flexible Independent Component Analysis
Journal of VLSI Signal Processing Systems
Probability, Statistics, and Queueing Theory with Computer Science Applications
Probability, Statistics, and Queueing Theory with Computer Science Applications
Improve maximum likelihood estimation for subband GGD parameters
Pattern Recognition Letters
The Electrical Engineering Handbook, Third Edition - 6 Volume Set (Electrical Engineering Handbook)
The Electrical Engineering Handbook, Third Edition - 6 Volume Set (Electrical Engineering Handbook)
Multiple statistical models for soft decision in noisy speech enhancement
Pattern Recognition
Speech enhancement based on a priori signal to noise estimation
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
A vector Taylor series approach for environment-independent speech recognition
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Subjective comparison and evaluation of speech enhancement algorithms
Speech Communication
Self-Invertible 2D Log-Gabor Wavelets
International Journal of Computer Vision
Speech enhancement by map spectral amplitude estimation using a super-Gaussian speech model
EURASIP Journal on Applied Signal Processing
A new speech enhancement method for adverse noise environment
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Independent component analysis for speech enhancement with missing TF content
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
Evaluation of Objective Quality Measures for Speech Enhancement
IEEE Transactions on Audio, Speech, and Language Processing
On denoising and best signal representation
IEEE Transactions on Information Theory
De-noising by soft-thresholding
IEEE Transactions on Information Theory
Sparse overcomplete Gabor wavelet representation based on local competitions
IEEE Transactions on Image Processing
International Journal of Speech Technology
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This paper deals with single-channel speech enhancement technique. Initially, the suitability of Log Gabor Wavelet (LGW) is investigated in speech enhancement approach and a novel speech enhancer by Bayesian Maximum a Posteriori (MAP) based Marginal Statistical Characterization (MSC) is developed. The LGW filters are traditional choice for obtaining localized frequency information and these offer the best simultaneous localization of time and frequency information. The MSC is applied in each scale of the LGW, that means a level dependent shrinkage rule is taken to suppress the background perturbations. The pdf of the LGW filtered speech coefficient is modeled with Generalized Laplacian Distribution (GLD), which allows a high approximation accuracy for Laplace distributed real and imaginary parts of the speech coefficients. The robustness of the proposed framework is tested on NOIZEUS speech corpus against seven different established speech enhancement algorithms. Experimental results show that the proposed estimator yield a higher improvement in Segmental SNR (S-SNR), lower Log Area Ratio (LAR) and Weighted Spectral Slope (WSS) distortion compared to existing speech enhancement algorithms.