-
1
-
-
0018455820
-
Image method for efficiently simulating small room acoustics
-
Allen, J. B., & Berkley, D. A. (1979). Image method for efficiently simulating small room acoustics. J. Acoust. Soc. Amer., 65, 943-950.
-
(1979)
J. Acoust. Soc. Amer.
, vol.65
, pp. 943-950
-
-
Allen, J.B.1
Berkley, D.A.2
-
2
-
-
0033561886
-
Independent factor analysis
-
Attias, H. (1999). Independent factor analysis. Neural Computation, 11(5), 803-851.
-
(1999)
Neural Computation
, vol.11
, Issue.5
, pp. 803-851
-
-
Attias, H.1
-
3
-
-
84977901887
-
A newmethod for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise
-
Attias, H., Deng, L., Acero, A., & Platt, J. (2001). A newmethod for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise. In Proc. Eurospeech (Vol. 3, pp. 1903-1906).
-
(2001)
Proc. Eurospeech
, vol.3
, pp. 1903-1906
-
-
Attias, H.1
Deng, L.2
Acero, A.3
Platt, J.4
-
4
-
-
0009589653
-
Speech denoising and dereverberation using probabilistic models
-
T. K. Leen, T. G. Dietterich, & V. Tresp (Eds.), Cambridge, MA: MIT Press
-
Attias,H., Platt, J. C., Acero, A., & Deng, L. (2000). Speech denoising and dereverberation using probabilistic models. In T. K. Leen, T. G. Dietterich, & V. Tresp (Eds.), Advances in neural information processing systems, 13 (pp. 758-764). Cambridge, MA: MIT Press.
-
(2000)
Advances in neural information processing systems
, vol.13
, pp. 758-764
-
-
Attias, H.1
Platt, J.C.2
Acero, A.3
Deng, L.4
-
6
-
-
0029411030
-
An information maximization approach to blind separation and blind deconvolution
-
Bell, A. J., & Sejnowski, T. J. (1995). An information maximization approach to blind separation and blind deconvolution. Neural Computation, 7(6), 1129-1159.
-
(1995)
Neural Computation
, vol.7
, Issue.6
, pp. 1129-1159
-
-
Bell, A.J.1
Sejnowski, T.J.2
-
8
-
-
1242286406
-
Independent component analysis based on nonparametric density estimation
-
Boscolo, R., Pan,H.,&Roychowdhury, V. P. (2004). Independent component analysis based on nonparametric density estimation. IEEE Trans. on Neural Networks, 15(1), 55-65.
-
(2004)
IEEE Trans. on Neural Networks
, vol.15
, Issue.1
, pp. 55-65
-
-
Boscolo, R.1
Pan, H.2
Roychowdhury, V.P.3
-
9
-
-
0032612381
-
High-order contrasts for independent component analysis
-
Cardoso, J.-F. (1999). High-order contrasts for independent component analysis. Neural Computation, 11(1), 157-192.
-
(1999)
Neural Computation
, vol.11
, Issue.1
, pp. 157-192
-
-
Cardoso, J.-F.1
-
10
-
-
0028416938
-
Independent component analysis, a new concept?
-
Comon, P. (1994). Independent component analysis, a new concept? Signal Processing, 36(3), 287-314.
-
(1994)
Signal Processing
, vol.36
, Issue.3
, pp. 287-314
-
-
Comon, P.1
-
11
-
-
51449123884
-
Recent advancements in speech enhancement
-
R. C. Dorf (Ed.), Boca Raton, FL: CRC Press
-
Ephraim, Y., & Cohen, I. (2006). Recent advancements in speech enhancement. In R. C. Dorf (Ed.), The electrical engineering handbook. Boca Raton, FL: CRC Press.
-
(2006)
The electrical engineering handbook
-
-
Ephraim, Y.1
Cohen, I.2
-
13
-
-
0032629347
-
Fast and robust fixed-point algorithms for independent component analysis
-
Hyvärinen, A. (1999). Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. on Neural Networks, 10(3), 626-634.
-
(1999)
IEEE Trans. on Neural Networks
, vol.10
, Issue.3
, pp. 626-634
-
-
Hyvärinen, A.1
-
14
-
-
0034222304
-
Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces
-
Hyvärinen, A., & Hoyer, P. O. (2000). Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces. Neural Computation, 12(7), 1705-1720.
-
(2000)
Neural Computation
, vol.12
, Issue.7
, pp. 1705-1720
-
-
Hyvärinen, A.1
Hoyer, P.O.2
-
15
-
-
0035409349
-
Topographic independent component analysis
-
Hyvärinen, A., Hoyer, P. O., & Inki,M. (2001). Topographic independent component analysis. Neural Computation, 13(7), 1527-1558.
-
(2001)
Neural Computation
, vol.13
, Issue.7
, pp. 1527-1558
-
-
Hyvärinen, A.1
Hoyer, P.O.2
Inki, M.3
-
17
-
-
0346307721
-
A fast fixed-point algorithm for independent component analysis
-
Hyvärinen, A., & Oja, E. (1997). A fast fixed-point algorithm for independent component analysis. Neural Computation, 9(7), 1483-1492.
-
(1997)
Neural Computation
, vol.9
, Issue.7
, pp. 1483-1492
-
-
Hyvärinen, A.1
Oja, E.2
-
18
-
-
34247155553
-
Blind source separation exploiting higher-order frequency dependencies
-
Kim, T.,Attias,H. T., Lee, S.-Y.,&Lee, T.-W. (2007). Blind source separation exploiting higher-order frequency dependencies. IEEE Trans. on Speech and Audio Processing, 15(1), 70-79.
-
(2007)
IEEE Trans. on Speech and Audio Processing
, vol.15
, Issue.1
, pp. 70-79
-
-
Kim, T.1
Attias, H.T.2
Lee, S.-Y.3
Lee, T.-W.4
-
19
-
-
0033708095
-
Evaluation of blind signal separation method using directivity pattern under reverberant conditions
-
Piscataway, NJ: IEEE Press
-
Kurita, S., Saruwatari, H., Kajita, S., Takeda, K., & Itakura, F. (2000). Evaluation of blind signal separation method using directivity pattern under reverberant conditions. In Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (pp. 3140-3143). Piscataway, NJ: IEEE Press.
-
(2000)
Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing
, pp. 3140-3143
-
-
Kurita, S.1
Saruwatari, H.2
Kajita, S.3
Takeda, K.4
Itakura, F.5
-
20
-
-
34247143280
-
Fast fixed-point independent vector analysis algorithms for convolutive blind source separation
-
Lee, I., Kim, T., & Lee, T.-W. (2007). Fast fixed-point independent vector analysis algorithms for convolutive blind source separation. Signal Processing, 87(8), 1859-1871.
-
(2007)
Signal Processing
, vol.87
, Issue.8
, pp. 1859-1871
-
-
Lee, I.1
Kim, T.2
Lee, T.-W.3
-
21
-
-
51449108058
-
On the assumption of spherical symmetry and sparseness for the frequency-domain speech model
-
Lee, I.,&Lee, T.-W. (2007).On the assumption of spherical symmetry and sparseness for the frequency-domain speech model. IEEE Trans. on Speech, Audio and Language Processing, 15(5), 1521-1528.
-
(2007)
IEEE Trans. on Speech, Audio and Language Processing
, vol.15
, Issue.5
, pp. 1521-1528
-
-
Lee, I.1
Lee, T.-W.2
-
23
-
-
84898994677
-
Blind separation of convolved and delayed sources
-
M. I. Jordan, M. Kearns, & S. A. Solla (Eds.), Cambridge, MA: MIT Press
-
Lee, T.-W., Bell, A. J., & Lambert, R. (1997). Blind separation of convolved and delayed sources. In M. I. Jordan, M. Kearns, & S. A. Solla (Eds.), Advances in neural information processing systems (pp. 758-764). Cambridge, MA: MIT Press.
-
(1997)
Advances in neural information processing systems
, pp. 758-764
-
-
Lee, T.-W.1
Bell, A.J.2
Lambert, R.3
-
24
-
-
0033556834
-
Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and supergaussian sources
-
Lee, T.-W., Girolami, M., & Sejnowski, T. J. (1999). Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and supergaussian sources. Neural Computation, 11, 417-441.
-
(1999)
Neural Computation
, vol.11
, pp. 417-441
-
-
Lee, T.-W.1
Girolami, M.2
Sejnowski, T.J.3
-
25
-
-
0041360459
-
Audio source separation of convolutive mixtures
-
Mitianoudis, N., & Davies, M. (2003). Audio source separation of convolutive mixtures. IEEE Trans. on Speech and Audio Processing, 11(5), 489-497.
-
(2003)
IEEE Trans. on Speech and Audio Processing
, vol.11
, Issue.5
, pp. 489-497
-
-
Mitianoudis, N.1
Davies, M.2
-
26
-
-
0030676410
-
Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models
-
Piscataway, NJ: IEEE Press
-
Moulines, E., Cardoso, J.-F., & Gassiat, E. (1997).Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models. In Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (pp. 3617-3620). Piscataway, NJ: IEEE Press.
-
(1997)
Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing
, pp. 3617-3620
-
-
Moulines, E.1
Cardoso, J.-F.2
Gassiat, E.3
-
27
-
-
0035659640
-
An approach to blind source separation based on temporal structure of speech signals
-
Murata, N., Ikeda, S., & Ziehe, A. (2001). An approach to blind source separation based on temporal structure of speech signals. Neurocomputing, 41, 1-24.
-
(2001)
Neurocomputing
, vol.41
, pp. 1-24
-
-
Murata, N.1
Ikeda, S.2
Ziehe, A.3
-
28
-
-
0000914334
-
Convolutive blind separation of non-stationary sources
-
Parra, L., & Spence, C. (2000). Convolutive blind separation of non-stationary sources. IEEE Trans. on Speech and Audio Processing, 8(3), 320-327.
-
(2000)
IEEE Trans. on Speech and Audio Processing
, vol.8
, Issue.3
, pp. 320-327
-
-
Parra, L.1
Spence, C.2
-
29
-
-
22944474285
-
On the slow convergence of em and vbem in low-noise linear models
-
Petersen, K. B.,Winther, O., & Hansen, L. K. (2005). On the slow convergence of em and vbem in low-noise linear models. Neural Computation, 17, 1921-1926.
-
(2005)
Neural Computation
, vol.17
, pp. 1921-1926
-
-
Petersen, K.B.1
Winther, O.2
Hansen, L.K.3
-
30
-
-
0032212942
-
Blind separation of convolved mixtures in the frequency domain
-
Smaragdis, P. (1998). Blind separation of convolved mixtures in the frequency domain. Neurocomputing, 22, 21-34.
-
(1998)
Neurocomputing
, vol.22
, pp. 21-34
-
-
Smaragdis, P.1
-
32
-
-
0029723365
-
Blind separation of convolved sources based on information maximization
-
Piscataway, NJ: IEEE Press
-
Torkkola, K. (1966). Blind separation of convolved sources based on information maximization. Proc. IEEE Int. Workshop on Neural Networks for Signal Processing (pp. 423-432). Piscataway, NJ: IEEE Press.
-
(1966)
Proc. IEEE Int. Workshop on Neural Networks for Signal Processing
, pp. 423-432
-
-
Torkkola, K.1
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