Description and generation of spherically invariant speech-model signals
Signal Processing
Computer generation of gamma random variates with non-integral shape parameters
Communications of the ACM
Time series: data analysis and theory
Time series: data analysis and theory
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
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Efficient alternatives to the Ephraim and Malah suppression rule for audio signal enhancement
EURASIP Journal on Applied Signal Processing
An adaptive filter-bank equalizer for speech enhancement
Signal Processing
Uniform and warped low delay filter-banks for speech enhancement
Speech Communication
Speech Enhancement Based on MAP Estimation Using a Variable Speech Distribution
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Low complexity DFT-domain noise PSD tracking using high-resolution periodograms
EURASIP Journal on Advances in Signal Processing
Discrete cosine transform particle filter speech enhancement
Speech Communication
Noise estimation using mean square cross prediction error for speech enhancement
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Speech enhancement with inventory style speech resynthesis
IEEE Transactions on Audio, Speech, and Language Processing
Improving speech intelligibility in noise using environment-optimized algorithms
IEEE Transactions on Audio, Speech, and Language Processing
Particle filter enhancement of speech spectral amplitudes
IEEE Transactions on Audio, Speech, and Language Processing
An evaluation study on speech feature densities for Bayesian estimation in robust ASR
Proceedings of the Third COST 2102 international training school conference on Toward autonomous, adaptive, and context-aware multimodal interfaces: theoretical and practical issues
Speech enhancement based on Sparse Code Shrinkage employing multiple speech models
Speech Communication
Bayesian marginal statistics for speech enhancement using log Gabor wavelet
International Journal of Speech Technology
Generalized gamma distributed Bayesian estimator under speech presence probability
ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science
NOLISP'09 Proceedings of the 2009 international conference on Advances in Nonlinear Speech Processing
Computers in Biology and Medicine
Distributed Delay and Sum Beamformer for Speech Enhancement via Randomized Gossip
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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This contribution presents two spectral amplitude estimators for acoustical background noise suppression based on maximum a posteriori estimation and super-Gaussian statistical modelling of the speech DFT amplitudes. The probability density function of the speech spectral amplitude is modelled with a simple parametric function, which allows a high approximation accuracy for Laplace- or Gamma-distributed real and imaginary parts of the speech DFT coefficients. Also, the statistical model can be adapted to optimally fit the distribution of the speech spectral amplitudes for a specific noise reduction system. Based on the super-Gaussian statistical model, computationally efficient maximum a posteriori speech estimators are derived, which outperform the commonly applied Ephraim-Malah algorithm.