Blind Separation For Audio Signals - Are We There Yet?
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[1] Scott C. Douglas,et al. A scalable VLSI architecture for multichannel blind deconvolution and source separation , 1998, 1998 IEEE Workshop on Signal Processing Systems. SIPS 98. Design and Implementation (Cat. No.98TH8374).
[2] E. Moreau,et al. Multichannel blind signal deconvolution using high order statistics , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.
[3] Véronique Capdevielle,et al. Blind adaptive separation of wide-band sources , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[4] Hsiao-Chun Wu,et al. Simultaneous diagonalization algorithm for blind source separation based on subband filtered features , 1998, Defense, Security, and Sensing.
[5] Holger Broman,et al. Monitoring the Mutual Independence of the Output of Source Separation Algorithms , 1996 .
[6] Shun-ichi Amari,et al. Novel On-Line Adaptive Learning Algorithms for Blind Deconvolution Using the Natural Gradient Approach , 1997 .
[7] Eric Moulines,et al. Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[8] Frank Ehlers,et al. Blind separation of convolutive mixtures and an application in automatic speech recognition in a noisy environment , 1997, IEEE Trans. Signal Process..
[9] S. Amari,et al. Maximum Likelihood Source Separation: Equivariance and Adaptivity , 1997 .
[10] S. Amari,et al. Multichannel blind separation and deconvolution of sources with arbitrary distributions , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.
[11] Yannick Deville,et al. Analysis of the stability of time-domain source separation algorithms for convolutively mixed signals , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[12] A. Maynard Engebretson,et al. Acoustic signal separation of statistically independent sources using multiple microphones , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[13] Jose C. Principe,et al. Simultaneous Diagonalization in the Frequency Domain (SDIF) for Source Separation , 2000 .
[14] Henrik Sahlin,et al. Signal Separation Applied to Real World Signals , 1997 .
[15] Dirk Van Compernolle,et al. Signal separation by symmetric adaptive decorrelation: stability, convergence, and uniqueness , 1995, IEEE Trans. Signal Process..
[16] Pierre Comon. Independent component analysis - a new concept? signal processing , 1994 .
[17] Philippe Loubaton,et al. Second order blind equalization in multiple input multiple output FIR systems: a weighted least squares approach , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[18] Russell H. Lambert,et al. A new method for source separation , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[19] Yinchao Guo,et al. Blind separation of temporomandibular joint sound signals , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[20] J. Príncipe,et al. Temporal decorrelation using teacher forcing anti-Hebbian learning and its application in adaptive blind source separation , 1996, Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.
[21] Chrysostomos L. Nikias,et al. Polynomial matrix whitening and application to the multichannel blind deconvolution problem , 1995, Proceedings of MILCOM '95.
[22] B. Friedlander,et al. Blind multi-channel system identification and deconvolution: performance bounds , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.
[23] Jiangtao Xi,et al. Blind separation and restoration of signals mixed in convolutive environment , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[24] Ch. Serviere,et al. Feasibility of source separation in frequency domain , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[25] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[26] Kari Torkkola,et al. Blind separation of convolved sources based on information maximization , 1996, Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.
[27] Roland Gautier,et al. Blind separation of convolutive mixtures using second and fourth order moments , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[28] V. Michael Bove,et al. Blind Separation Of Real World Audio Signals Using Overdetermined Mixtures , 1999 .
[29] Meir Feder,et al. Multi-channel signal separation by decorrelation , 1993, IEEE Trans. Speech Audio Process..
[30] Andreas Ziehe,et al. Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[31] Miguel Angel Lagunas,et al. Blind wideband source separation , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.
[32] Lang Tong,et al. Indeterminacy and identifiability of blind identification , 1991 .
[33] Russell H. Lambert,et al. Blind separation of multiple speakers in a multipath environment , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[34] Petre Stoica,et al. Source separation: A TITO system identification approach , 1999, Signal Process..
[35] Jose C. Principe,et al. A unifying criterion for blind source separation and decorrelation: simultaneous diagonalization of correlation matrices , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.
[36] H. Attias,et al. Blind source separation and deconvolution by dynamic component analysis , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.
[37] Sergio Cruces,et al. A Gauss-Newton method for blind source separation of convolutive mixtures , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[38] Pcw Piet Sommen,et al. A new blind signal separation algorithm based on second-order statistics , 1998 .
[39] Reinhold Orglmeister,et al. Blind source separation of real world signals , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[40] Paris Smaragdis,et al. Evaluation of blind signal separation methods , 1999 .
[41] Nathalie Delfosse,et al. Adaptive blind separation of convolutive mixtures , 1996, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.
[42] Mark A. Girolami,et al. Noise reduction and speech enhancement via temporal anti-Hebbian learning , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[43] S.C. Douglas,et al. On the relationship between blind deconvolution and blind source separation , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).
[44] Kari Torkkola,et al. Blind separation of delayed sources based on information maximization , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[45] A.-J. van der Veen,et al. Source separation based on second order statistics-an algebraic approach , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.
[46] Andreas Ziehe,et al. An approach to blind source separation based on temporal structure of speech signals , 2001, Neurocomputing.
[47] Christoph E. Schreiner,et al. Blind source separation and deconvolution: the dynamic component analysis algorithm , 1998 .
[48] L. Parra,et al. Convolutive blind source separation based on multiple decorrelation , 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).
[49] Terrence J. Sejnowski,et al. Adaptive separation of mixed broadband sound sources with delays by a beamforming Herault-Jutten network , 1995 .
[50] J. Cardoso,et al. Maximum Likelihood Source SeparationBy the Expectation-Maximization Technique : Deterministic and Stochastic Implementation , 1995 .
[51] Lucas C. Parra,et al. Temporal Models in Blind Source Separation , 1997, Summer School on Neural Networks.
[52] Dinh Tuan Pham,et al. Separation of a mixture of independent sources through a maximum likelihood approach , 1992 .
[53] Jean-François Cardoso,et al. Equivariant adaptive source separation , 1996, IEEE Trans. Signal Process..
[54] C. Fyfe,et al. Generalised independent component analysis through unsupervised learning with emergent Bussgang properties , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[55] Andrzej Cichocki,et al. Blind Source Separation and Deconvolution of Fast Sampled Signals , 1997, ICONIP.
[56] Barak A. Pearlmutter,et al. A Context-Sensitive Generalization of ICA , 1996 .
[57] Te-Won Lee,et al. Blind Separation of Delayed and Convolved Sources , 1996, NIPS.
[58] Andrzej Cichocki,et al. A New Learning Algorithm for Blind Signal Separation , 1995, NIPS.
[59] R. Lambert. Multichannel blind deconvolution: FIR matrix algebra and separation of multipath mixtures , 1996 .
[60] P. Comon,et al. Contrasts for multichannel blind deconvolution , 1996, IEEE Signal Processing Letters.
[61] Henrik Sahlin,et al. Source separation using second order statistics , 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).
[62] Yunxin Zhao,et al. Robust automatic speech recognition using a multi-channel signal separation front-end , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.
[63] Reinhold Orglmeister,et al. A contextual blind separation of delayed and convolved sources , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[64] Ah Chung Tsoi,et al. Blind deconvolution of signals using a complex recurrent network , 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.
[65] Shuichi Ohno,et al. A least-squares interpretation of the single-stage maximization criterion for multichannel blind deconvolution , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[66] 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).
[67] J. Pesquet,et al. Generalized contrasts for multichannel blind deconvolution of linear systems , 1997, IEEE Signal Processing Letters.
[68] Simon J. Godsill,et al. Multi-channel signal separation , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[69] Alexander George Westner,et al. Object-based audio capture : separating acoustically-mixed sounds , 1999 .
[70] José Carlos Príncipe,et al. Exploring the time-frequency microstructure of speech for blind source separation , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[71] John C. Platt,et al. Networks for the Separation of Sources that Are Superimposed and Delayed , 1991, NIPS.
[72] Georgios B. Giannakis,et al. Multichannel blind signal separation and reconstruction , 1997, IEEE Trans. Speech Audio Process..
[73] Dirk Van Compernolle,et al. Feedforward and feedback in a symmetric adaptive noise canceler : “stability analysis in a simplified case” , 1992 .
[74] Hagai Attias,et al. Blind Source Separation and Deconvolution: The Dynamic Component Analysis Algorithm , 1998, Neural Computation.
[75] Y. F. Huang,et al. A robust method for wideband signal separation , 1993, 1993 IEEE International Symposium on Circuits and Systems.
[76] A. Cichocki,et al. Blind signal deconvolution by spatio-temporal decorrelation and demixing , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.
[77] Holger Broman,et al. On local convergence of a class of blind separation algorithms , 1995, IEEE Trans. Signal Process..
[78] Dirk Van Compernolle,et al. Signal separation in a symmetric adaptive noise canceler by output decorrelation , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[79] S.C. Douglas,et al. Multichannel blind deconvolution and equalization using the natural gradient , 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.
[80] Aapo Hyvärinen,et al. New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit , 1997, NIPS.
[81] Philippe Loubaton,et al. On the convolutive mixture source separation by the decorrelation approach , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[82] Kiyotoshi Matsuoka,et al. A neural net for blind separation of nonstationary signals , 1995, Neural Networks.
[83] H. Sahlin,et al. The asymptotic Cramer-Rao lower bound for blind signal separation , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.
[84] Holger Broman,et al. On the Identifiability of a Mixing Channel Based on Second Order Statistics , 1996 .
[85] Lang Tong,et al. Identification of multivariate FIR systems using higher-order statistics , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[86] R. Liu,et al. A wideband blind identification approach to speech acquisition using a microphone array , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[87] Jean-Louis Lacoume,et al. Blind separation of wide-band sources in the frequency domain , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[88] Paris Smaragdis,et al. Information theoretic approaches to source separation , 1997 .
[89] Yeheskel Bar-Ness,et al. A forward/backward bootstrapped structure for blind separation of signals in a multi-channel dispersive environment , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[90] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[91] A. V. D. Veen. Algebraic methods for deterministic blind beamforming , 1998, Proc. IEEE.
[92] Christian Jutten,et al. Space or time adaptive signal processing by neural network models , 1987 .
[93] Andrzej Cichocki,et al. Neural networks for blind decorrelation of signals , 1997, IEEE Trans. Signal Process..
[94] Henrik Sahlin,et al. A Decorrelation Approach to Blind MIMO Signal Separation , 1999 .
[95] Jitendra K. Tugnait. Adaptive blind separation of convolutive mixtures of independent linear signals , 1999, Signal Process..
[96] Ehud Weinstein,et al. Multichannel signal separation: methods and analysis , 1996, IEEE Trans. Signal Process..
[97] Paris Smaragdis,et al. Efficient blind separation of convolved sound mixtures , 1997, Proceedings of 1997 Workshop on Applications of Signal Processing to Audio and Acoustics.
[98] Seungjin Choi,et al. Adaptive Blind Separation of Speech Signals: Cocktail Party Problem , 1997 .