Speech Enhancement Using Gaussian Scale Mixture Models
暂无分享,去创建一个
[1] D. F. Andrews,et al. Scale Mixtures of Normal Distributions , 1974 .
[2] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[3] S. Boll,et al. Suppression of acoustic noise in speech using spectral subtraction , 1979 .
[4] R. McAulay,et al. Speech enhancement using a soft-decision noise suppression filter , 1980 .
[5] Jae S. Lim,et al. The unimportance of phase in speech enhancement , 1982 .
[6] David Malah,et al. Speech enhancement using a minimum mean-square error log-spectral amplitude estimator , 1984, IEEE Trans. Acoust. Speech Signal Process..
[7] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[8] Yariv Ephraim,et al. Statistical-model-based speech enhancement systems , 1992, Proc. IEEE.
[9] Yariv Ephraim. Gain-adapted hidden Markov models for recognition of clean and noisy speech , 1992, IEEE Trans. Signal Process..
[10] Yariv Ephraim,et al. A Bayesian estimation approach for speech enhancement using hidden Markov models , 1992, IEEE Trans. Signal Process..
[11] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[12] Ross D. Shachter,et al. Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables , 1994, UAI.
[13] Yariv Ephraim,et al. A signal subspace approach for speech enhancement , 1995, IEEE Trans. Speech Audio Process..
[14] Michael S. Brandstein. On the use of explicit speech modeling in microphone array applications , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[15] Hagai Attias,et al. A Variational Bayesian Framework for Graphical Models , 1999 .
[16] A. Czyzewski,et al. Noise reduction in audio signals based on the perceptual coding approach , 1999, Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452).
[17] Simon J. Godsill,et al. Towards a perceptually optimal spectral amplitude estimator for audio signal enhancement , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).
[18] Li Deng,et al. Speech Denoising and Dereverberation Using Probabilistic Models , 2000, NIPS.
[19] Ho-Young Jung,et al. Speech Coding And Noise Reduction Using Ica-Based Speech Features , 2000 .
[20] Ehud Weinstein,et al. Signal enhancement using beamforming and nonstationarity with applications to speech , 2001, IEEE Trans. Signal Process..
[21] Li Deng,et al. A new method for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise , 2001, INTERSPEECH.
[22] Brendan J. Frey,et al. Learning Dynamic Noise Models from Noisy Speech for Robust Speech Recognition , 2001 .
[23] Christophe Beaugeant,et al. SPEECH ENHANCEMENT USING A MINIMUM LEAST SQUARE AMPLITUDE ESTIMATOR , 2001 .
[24] Rainer Martin,et al. Noise power spectral density estimation based on optimal smoothing and minimum statistics , 2001, IEEE Trans. Speech Audio Process..
[25] I. Cohen,et al. Noise estimation by minima controlled recursive averaging for robust speech enhancement , 2002, IEEE Signal Processing Letters.
[26] Sharon Gannot,et al. Speech enhancement using a mixture-maximum model , 1999, IEEE Trans. Speech Audio Process..
[27] T. Lotter. NOISE REDUCTION BY MAXIMUM A POSTERIORI SPECTRAL AMPLITUDE ESTIMATION WITH SUPERGAUSSIAN SPEECH MODELING , 2003 .
[28] R. Balan,et al. Independent component analysis based single channel speech enhancement , 2003, Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795).
[29] Israel Cohen,et al. Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging , 2003, IEEE Trans. Speech Audio Process..
[30] T. Kristjansson,et al. High resolution signal reconstruction , 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).
[31] Peter J. W. Rayner,et al. Single channel nonstationary stochastic signal separation using linear time-varying filters , 2003, IEEE Trans. Signal Process..
[32] Israel Cohen,et al. An Integrated Real-Time Beamforming and Postfiltering System for Nonstationary Noise Environments , 2003, EURASIP J. Adv. Signal Process..
[33] Rainer Martin,et al. MMSE estimation of magnitude-squared DFT coefficients with superGaussian priors , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[34] S. Godsill,et al. Bayesian variable selection and regularization for time–frequency surface estimation , 2004 .
[35] Wai-Kai Chen,et al. The Electrical Engineering Handbook , 2004 .
[36] Yariv Ephraim,et al. Recent Advancements in Speech Enhancement , 2004 .
[37] Jacob Benesty,et al. Study of the Wiener Filter for Noise Reduction , 2005 .
[38] Rainer Martin,et al. Speech enhancement based on minimum mean-square error estimation and supergaussian priors , 2005, IEEE Transactions on Speech and Audio Processing.
[39] Simon J. Godsill,et al. A Bayesian Approach for Blind Separation of Sparse Sources , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[40] Emmanuel Vincent,et al. Low Bit-Rate Object Coding of Musical Audio Using Bayesian Harmonic Models , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[41] Ephraim. Speech enhancement using a minimum mean square error short-time spectral amplitude estimator , 1984 .