Convolutive Non-Negative Matrix Factorisation with a Sparseness Constraint
暂无分享,去创建一个
[1] Jonathan G. Fiscus,et al. Darpa Timit Acoustic-Phonetic Continuous Speech Corpus CD-ROM {TIMIT} | NIST , 1993 .
[2] David J. Field,et al. What Is the Goal of Sensory Coding? , 1994, Neural Computation.
[3] R. Lambert. Multichannel blind deconvolution: FIR matrix algebra and separation of multipath mixtures , 1996 .
[4] Derry Fitzgerald,et al. Sound Source Separation Using Shifted Non-Negative Tensor Factorisation , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[5] Barak A. Pearlmutter,et al. Convolutive Non-Negative Matrix Factorisation with a Sparseness Constraint , 2006 .
[6] Patrik O. Hoyer,et al. Non-negative sparse coding , 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.
[7] Raul Kompass,et al. A Generalized Divergence Measure for Nonnegative Matrix Factorization , 2007, Neural Computation.
[8] Mark D. Plumbley,et al. Polyphonic music transcription by non-negative sparse coding of power spectra , 2004 .
[9] VirtanenTuomas. Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria , 2007 .
[10] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[11] Paris Smaragdis,et al. Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs , 2004, ICA.
[12] D. Chakrabarti,et al. A fast fixed - point algorithm for independent component analysis , 1997 .
[13] P. Paatero,et al. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values† , 1994 .
[14] Mark D. Plumbley,et al. Polyphonic transcription by non-negative sparse coding of power spectra , 2004, ISMIR.
[15] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[16] Tuomas Virtanen,et al. Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[17] Bhiksha Raj,et al. Sparse Overcomplete Decomposition for Single Channel Speaker Separation , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[18] Tuomas Virtanen,et al. Sound Source Separation Using Sparse Coding with Temporal Continuity Objective , 2003, ICMC.
[19] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[20] Victoria Stodden,et al. When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? , 2003, NIPS.
[21] Rémi Gribonval,et al. BSS_EVAL Toolbox User Guide -- Revision 2.0 , 2005 .
[22] Paris Smaragdis,et al. Convolutive Speech Bases and Their Application to Supervised Speech Separation , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[23] Hsiao-Wuen Hon,et al. Speaker-independent phone recognition using hidden Markov models , 1989, IEEE Trans. Acoust. Speech Signal Process..
[24] Andrzej Cichocki,et al. Csiszár's Divergences for Non-negative Matrix Factorization: Family of New Algorithms , 2006, ICA.
[25] Barak A. Pearlmutter,et al. Blind Source Separation by Sparse Decomposition in a Signal Dictionary , 2001, Neural Computation.
[26] Bruno A Olshausen,et al. Sparse coding of sensory inputs , 2004, Current Opinion in Neurobiology.
[27] J. Eggert,et al. Sparse coding and NMF , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[28] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[29] W. G. Radley. Visible Speech , 1948, Nature.
[30] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.