Probabilistic Modeling Paradigms for Audio Source Separation
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Mark D. Plumbley | Mike E. Davies | Samer A. Abdallah | Emmanuel Vincent | Mark D. Plumbley | Maria G. Jafari | M. Davies | E. Vincent | S. Abdallah | M. Jafari | M. Davies
[1] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[2] Roger K. Moore. Computer Speech and Language , 1986 .
[3] Daniel Patrick Whittlesey Ellis,et al. Prediction-driven computational auditory scene analysis , 1996 .
[4] Jean-François Cardoso,et al. Multidimensional independent component analysis , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[5] Paris Smaragdis,et al. Blind separation of convolved mixtures in the frequency domain , 1998, Neurocomputing.
[6] Sam T. Roweis,et al. One Microphone Source Separation , 2000, NIPS.
[7] Barak A. Pearlmutter,et al. Independent Component Analysis: Blind source separation by sparse decomposition in a signal dictionary , 2001 .
[8] Barak A. Pearlmutter,et al. Blind Source Separation by Sparse Decomposition in a Signal Dictionary , 2001, Neural Computation.
[9] Jean-Francois Cardoso,et al. THE THREE EASY ROUTES TO INDEPENDENT COMPONENT ANALYSIS; CONTRASTS AND GEOMETRY , 2001 .
[10] Harry L. Van Trees,et al. Optimum Array Processing , 2002 .
[11] Hagai Attias,et al. New EM algorithms for source separation and deconvolution with a microphone array , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[12] Shubha Kadambe,et al. A probabilistic approach for blind source separation of underdetermined convolutive mixtures , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[13] Te-Won Lee,et al. A Maximum Likelihood Approach to Single-channel Source Separation , 2003, J. Mach. Learn. Res..
[14] Nikolaos Mitianoudis,et al. Audio source separation of convolutive mixtures , 2003, IEEE Trans. Speech Audio Process..
[15] Dinh-Tuan Pham,et al. Blind separation of speech mixtures based on nonstationarity , 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..
[16] Mohan M. Trivedi,et al. Source localization in reverberant environments: modeling and statistical analysis , 2003, IEEE Trans. Speech Audio Process..
[17] Rémi Gribonval,et al. Non negative sparse representation for Wiener based source separation with a single sensor , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[18] Scott Rickard,et al. Blind separation of speech mixtures via time-frequency masking , 2004, IEEE Transactions on Signal Processing.
[19] Hiroshi Sawada,et al. Blind Source Separation for MOving Speech Signals Using Blockwise ICA and Residual Crosstalk Subtraction , 2004 .
[20] Jerry Nedelman,et al. Book review: “Bayesian Data Analysis,” Second Edition by A. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin Chapman & Hall/CRC, 2004 , 2005, Comput. Stat..
[21] J. Cardoso,et al. Maximum likelihood approach for blind audio source separation using time-frequency Gaussian source models , 2005, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005..
[22] Daniel P. W. Ellis,et al. Model-Based Scene Analysis , 2005 .
[23] Charles M. Bishop,et al. Variational Message Passing , 2005, J. Mach. Learn. Res..
[24] W. Bastiaan Kleijn,et al. Codebook driven short-term predictor parameter estimation for speech enhancement , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[25] Daniel P. W. Ellis,et al. An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments , 2006, NIPS.
[26] Rémi Gribonval,et al. Audio source separation with a single sensor , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[27] Mike E. Davies,et al. Sparse and shift-Invariant representations of music , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[28] JOINT ACOUSTIC SOURCE LOCATION AND ORIENTATION ESTIMATION USING SEQUENTIAL MONTE CARLO , 2006 .
[29] John R. Hershey,et al. Super-human multi-talker speech recognition: the IBM 2006 speech separation challenge system , 2006, INTERSPEECH.
[30] Guy J. Brown,et al. Computational Auditory Scene Analysis: Principles, Algorithms, and Applications , 2006 .
[31] Emmanuel Vincent,et al. Musical source separation using time-frequency source priors , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[32] Paris Smaragdis,et al. Convolutive Speech Bases and Their Application to Supervised Speech Separation , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[33] Hiroshi Sawada,et al. Grouping Separated Frequency Components by Estimating Propagation Model Parameters in Frequency-Domain Blind Source Separation , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[34] Te-Won Lee,et al. Blind Speech Separation , 2007, Blind Speech Separation.
[35] Te-Won Lee,et al. Independent Vector Analysis for Convolutive Blind Speech Separation , 2007, Blind Speech Separation.
[36] Ahmed H. Tewfik,et al. Two Improved Sparse Decomposition Methods for Blind Source Separation , 2007, ICA.
[37] Emmanuel Vincent,et al. Complex Nonconvex l p Norm Minimization for Underdetermined Source Separation , 2007, ICA.
[38] Rémi Gribonval,et al. Adaptation of Bayesian Models for Single-Channel Source Separation and its Application to Voice/Music Separation in Popular Songs , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[39] Simon J. Godsill,et al. Variational and stochastic inference for Bayesian source separation , 2007, Digit. Signal Process..
[40] Mikkel N. Schmidt,et al. Linear Regression on Sparse Features for Single-Channel Speech Separation , 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
[41] Volker Hohmann,et al. Combined Estimation of Spectral Envelopes and Sound Source Direction of Concurrent Voices by Multidimensional Statistical Filtering , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[42] Shigeki Sagayama,et al. Sparseness-Based 2CH BSS using the EM Algorithm in Reverberant Environment , 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
[43] Hiroshi Sawada,et al. MAP-Based Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and -Norm Minimization , 2007, EURASIP J. Adv. Signal Process..
[44] John R. Hershey,et al. Efficient model-based speech separation and denoising using non-negative subspace analysis , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[45] Daniel P. W. Ellis,et al. Source separation based on binaural cues and source model constraints , 2008, INTERSPEECH.
[46] P. Svaizer,et al. Separating Short Signals in Highly Reverberant Environment by a Recursive Frequency-Domain BSS , 2008, 2008 Hands-Free Speech Communication and Microphone Arrays.
[47] Alan Wee-Chung Liew,et al. Visual Speech Recognition: Lip Segmentation and Mapping , 2008 .
[48] Derry Fitzgerald,et al. Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation , 2008, Comput. Intell. Neurosci..
[49] Guy Rapaport,et al. Evaluation of several strategies for single sensor speech/music separation , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[50] DeLiang Wang,et al. Binaural tracking of multiple moving sources , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[51] Barak A. Pearlmutter,et al. The LOST Algorithm: Finding Lines and Separating Speech Mixtures , 2008, EURASIP J. Adv. Signal Process..
[52] Rémi Gribonval,et al. Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation , 2009, ICA.
[53] Say Wei Foo,et al. Hidden Markov Model Based Visemes Recognition, Part I: AdaBoost Approach , 2009 .
[54] Alexey Ozerov,et al. Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[55] Emmanuel Vincent,et al. Validity of the Independence Assumption for the Separation of Instantaneous and Convolutive Mixtures of Speech and Music Sources , 2009, ICA.
[56] Emmanuel Vincent,et al. Extension of Sparse, Adaptive Signal Decompositions to Semi-blind Audio Source Separation , 2009, ICA.
[57] Ali Taylan Cemgil,et al. Mixtures of Gamma Priors for Non-negative Matrix Factorization Based Speech Separation , 2009, ICA.
[58] Rémi Gribonval,et al. Spatial covariance models for under-determined reverberant audio source separation , 2009, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
[59] Rémi Gribonval,et al. Underdetermined Instantaneous Audio Source Separation via Local Gaussian Modeling , 2009, ICA.
[60] Emmanuel Vincent,et al. The 2008 Signal Separation Evaluation Campaign: A Community-Based Approach to Large-Scale Evaluation , 2009, ICA.
[61] Intae Lee,et al. Permutation Correction in Blind Source Separation Using Sliding Subband Likelihood Function , 2009, ICA.
[62] Daniel P. W. Ellis,et al. Speech separation using speaker-adapted eigenvoice speech models , 2010, Comput. Speech Lang..
[63] John K Kruschke,et al. Bayesian data analysis. , 2010, Wiley interdisciplinary reviews. Cognitive science.
[64] Sivaji Bandyopadhyay,et al. Emerging Applications of Natural Language Processing: Concepts and New Research , 2012 .