TY - JOUR AU - Leggetter, C. J. AU - Woodland, P. C. PY - 1995 DA - 1995// TI - Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models JO - Comput. Speech Lang VL - 9 UR - https://doi.org/10.1006/csla.1995.0010 DO - 10.1006/csla.1995.0010 ID - Leggetter1995 ER - TY - JOUR AU - Gales, M. J. F. PY - 1998 DA - 1998// TI - Maximum likelihood linear transformations for HMM-based speech recognition JO - Comput. Speech Lang. VL - 12 UR - https://doi.org/10.1006/csla.1998.0043 DO - 10.1006/csla.1998.0043 ID - Gales1998 ER - TY - JOUR AU - Kuhn, R. AU - Junqua, J. C. AU - Nguyen, P. AU - Niedzielski, N. PY - 2000 DA - 2000// TI - Rapid speaker adaptation in eigenvoice space JO - IEEE Trans. Speech Audio Process. VL - 8 UR - https://doi.org/10.1109/89.876308 DO - 10.1109/89.876308 ID - Kuhn2000 ER - TY - JOUR AU - Kenny, P. AU - Boulianne, G. AU - Dumouchel, P. PY - 2005 DA - 2005// TI - Eigenvoice modeling with sparse training data JO - IEEE Trans. Speech Audio Process. VL - 13 UR - https://doi.org/10.1109/TSA.2004.840940 DO - 10.1109/TSA.2004.840940 ID - Kenny2005 ER - TY - JOUR AU - Gauvain, J. L. AU - Lee, C. H. PY - 1994 DA - 1994// TI - Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains JO - IEEE Trans. Speech Audio Process. VL - 2 UR - https://doi.org/10.1109/89.279278 DO - 10.1109/89.279278 ID - Gauvain1994 ER - TY - CHAP AU - Olsen, P. A. AU - Huang, J. AU - Rennie, S. J. AU - Goel, V. PY - 2011 DA - 2011// TI - Sparse maximum a posteriori adaptation BT - Proc. Automatic Speech Recognition and Understanding Workshop ID - Olsen2011 ER - TY - CHAP AU - Olsen, P. A. AU - Huang, J. AU - Rennie, S. J. AU - Goel, V. PY - 2012 DA - 2012// TI - Affine invariant sparse maximum a posteriori adaptation BT - Proc. Int. Conf. Acoustics, Speech, and Signal Processing ID - Olsen2012 ER - TY - CHAP AU - Kim, Y. AU - Kim, H. PY - 2014 DA - 2014// TI - Constrained MLE-based speaker adaptation with L1 regularization BT - Proc. Int. Conf. Acoustics, Speech, and Signal Processing ID - Kim2014 ER - TY - STD TI - C.M. Bishop, Pattern recognition and machine learning (Springer-Verlag, 2nd edition, 2006) ID - ref9 ER - TY - CHAP AU - Duchi, J. AU - Shalev-Shwartz, S. AU - Singer, Y. AU - Chandra, T. PY - 2008 DA - 2008// TI - Efficient projections onto the L1-ball for learning in high dimensions BT - Proc. Int. Conf. Mach. Learn ID - Duchi2008 ER - TY - CHAP AU - Liu, J. AU - Ye, J. PY - 2009 DA - 2009// TI - Efficient Euclidean projections in linear time BT - Proc. Int. Conf. Mach. Learn ID - Liu2009 ER - TY - JOUR AU - Gong, P. AU - Gai, K. AU - Zhang, C. PY - 2011 DA - 2011// TI - Efficient Euclidean projections via piecewise root finding and its application in gradient projection JO - Neurocomputing VL - 74 UR - https://doi.org/10.1016/j.neucom.2011.02.019 DO - 10.1016/j.neucom.2011.02.019 ID - Gong2011 ER - TY - JOUR AU - Cortes, C. AU - Vapnik, V. PY - 1995 DA - 1995// TI - Support-vector networks JO - Mach. Learn. VL - 20 ID - Cortes1995 ER - TY - STD TI - V. Vapnik, The nature of statistical learning theory (Springer, 2000) ID - ref14 ER - TY - JOUR AU - Shalev-Shwartz, S. AU - Singer, Y. AU - Srebro, N. AU - Cotter, A. PY - 2011 DA - 2011// TI - Pegasos: primal estimated sub-gradient solver for SVM JO - Math. Program. VL - 127 UR - https://doi.org/10.1007/s10107-010-0420-4 DO - 10.1007/s10107-010-0420-4 ID - Shalev-Shwartz2011 ER - TY - JOUR AU - Tibshirani, R. PY - 1996 DA - 1996// TI - Regression selection and shrinkage via the lasso JO - J. R. Stat. Soc. B. VL - 58 ID - Tibshirani1996 ER - TY - JOUR AU - Duchi, J. AU - Singer, Y. PY - 2009 DA - 2009// TI - Efficient online and batch learning using forward backward splitting JO - J. Mach. Learn. Res. VL - 10 ID - Duchi2009 ER - TY - JOUR AU - Figueiredo, M. A. T. AU - Nowak, R. D. AU - Wright, S. J. PY - 2007 DA - 2007// TI - Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems JO - IEEE J. Sel. Top. Signal Process. VL - 1 UR - https://doi.org/10.1109/JSTSP.2007.910281 DO - 10.1109/JSTSP.2007.910281 ID - Figueiredo2007 ER - TY - JOUR AU - Nesterov, Y. PY - 1983 DA - 1983// TI - A method of solving a convex programming problem with convergence rate O (1/k2) JO - Sov. Math. Dokl. VL - 27 ID - Nesterov1983 ER - TY - BOOK AU - Nesterov, Y. PY - 2004 DA - 2004// TI - Introductory lectures on convex optimization: a basic course PB - Springer CY - Netherlands UR - https://doi.org/10.1007/978-1-4419-8853-9 DO - 10.1007/978-1-4419-8853-9 ID - Nesterov2004 ER - TY - JOUR AU - Nesterov, Y. PY - 2005 DA - 2005// TI - Smooth minimization of non-smooth functions JO - Math. Program. VL - 103 UR - https://doi.org/10.1007/s10107-004-0552-5 DO - 10.1007/s10107-004-0552-5 ID - Nesterov2005 ER - TY - JOUR AU - Nesterov, Y. PY - 2013 DA - 2013// TI - Gradient methods for minimizing composite functions JO - Math. Program. VL - 140 UR - https://doi.org/10.1007/s10107-012-0629-5 DO - 10.1007/s10107-012-0629-5 ID - Nesterov2013 ER - TY - STD TI - D.P. Bertsekas, Nonlinear programming (Athena Scientific, 1995) ID - ref23 ER - TY - BOOK AU - Kotz, S. AU - Kozubowski, T. AU - Podgorsk, K. PY - 2001 DA - 2001// TI - The Laplace distribution and generalizations PB - Birkhäuser CY - Boston UR - https://doi.org/10.1007/978-1-4612-0173-1 DO - 10.1007/978-1-4612-0173-1 ID - Kotz2001 ER - TY - CHAP AU - Yao, K. AU - Yu, D. AU - Seide, F. AU - Su, H. AU - Deng, L. AU - Gong, Y. PY - 2012 DA - 2012// TI - 2012 BT - Proc. Spoken Language Technology Workshop ID - Yao2012 ER - TY - JOUR AU - Mohamed, A. AU - Dahl, G. E. AU - Hinton, G. PY - 2012 DA - 2012// TI - Acoustic modeling using deep belief networks JO - IEEE Trans. Audio. Speech. Lang. Processing. VL - 20 UR - https://doi.org/10.1109/TASL.2011.2109382 DO - 10.1109/TASL.2011.2109382 ID - Mohamed2012 ER - TY - JOUR AU - Dahl, G. E. AU - Yu, D. AU - Deng, L. AU - Acero, A. PY - 2012 DA - 2012// TI - Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition JO - IEEE Trans. Audio, Speech Lang. Process VL - 20 UR - https://doi.org/10.1109/TASL.2011.2134090 DO - 10.1109/TASL.2011.2134090 ID - Dahl2012 ER - TY - CHAP AU - Liao, H. PY - 2013 DA - 2013// TI - Speaker adaptation of context dependent deep neural networks BT - Proc. Int. Conf. Acoustics, Speech, and Signal Processing ID - Liao2013 ER -