-
2
-
-
69349090197
-
Learning deep architectures for AI
-
Y. Bengio Learning deep architectures for AI Found. Trends Mach. Learn. 2 1 2009 1 127
-
(2009)
Found. Trends Mach. Learn.
, vol.2
, Issue.1
, pp. 1-127
-
-
Bengio, Y.1
-
3
-
-
0018455310
-
Suppression of acoustic noise in speech using spectral subtraction
-
S.F. Boll Suppression of acoustic noise in speech using spectral subtraction IEEE Trans. Acoust. Speech Signal Process., ASSP 27 2 1979 113 120
-
(1979)
IEEE Trans. Acoust. Speech Signal Process., ASSP
, vol.27
, Issue.2
, pp. 113-120
-
-
Boll, S.F.1
-
5
-
-
0036226165
-
Noise estimation by minima controlled recursive averaging for robust speech enhancement
-
I. Cohen, and B. Berdugo Noise estimation by minima controlled recursive averaging for robust speech enhancement IEEE Signal Process. Lett. 9 1 2002 12 15
-
(2002)
IEEE Signal Process. Lett.
, vol.9
, Issue.1
, pp. 12-15
-
-
Cohen, I.1
Berdugo, B.2
-
6
-
-
84055222005
-
Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
-
G.E. Dahl, D. Yu, L. Deng, and A. Acero Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition IEEE Trans. Audio Speech Lang. Process. 20 1 2012 30 42
-
(2012)
IEEE Trans. Audio Speech Lang. Process.
, vol.20
, Issue.1
, pp. 30-42
-
-
Dahl, G.E.1
Yu, D.2
Deng, L.3
Acero, A.4
-
7
-
-
0029307534
-
De-noising by soft-thresholding
-
D.L. Donoho De-noising by soft-thresholding IEEE Trans. Inf. Theory 41 3 1995 613 627
-
(1995)
IEEE Trans. Inf. Theory
, vol.41
, Issue.3
, pp. 613-627
-
-
Donoho, D.L.1
-
8
-
-
0021645331
-
Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator
-
Y. Ephraim, and D. Malah Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator IEEE Trans. Acoust. Speech Signal Process., ASSP 32 6 1984 1109 1121
-
(1984)
IEEE Trans. Acoust. Speech Signal Process., ASSP
, vol.32
, Issue.6
, pp. 1109-1121
-
-
Ephraim, Y.1
Malah, D.2
-
10
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
G.E. Hinton, and R.R. Salakhutdinov Reducing the dimensionality of data with neural networks Science 313 5786 2006 504 507
-
(2006)
Science
, vol.313
, Issue.5786
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.R.2
-
11
-
-
79952360668
-
ITU-T P.862, perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs
-
ITU-T, 2001 Union (ITU), series P
-
ITU-T, 2001. ITU-T P.862, perceptual evaluation of speech quality (PESQ): an objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs. Int. Telecommun. Union (ITU), series P.
-
Int. Telecommun
-
-
-
13
-
-
0023963510
-
Transform coding of audio signals using perceptual noise criteria
-
J.D. Johnston Transform coding of audio signals using perceptual noise criteria IEEE J. Sel. Areas Commun. 6 2 1988 314 323
-
(1988)
IEEE J. Sel. Areas Commun.
, vol.6
, Issue.2
, pp. 314-323
-
-
Johnston, J.D.1
-
14
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner Gradient-based learning applied to document recognition Proc. IEEE 86 11 1998 2278 2323
-
(1998)
Proc. IEEE
, vol.86
, Issue.11
, pp. 2278-2323
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
15
-
-
0018642851
-
Enhancement and bandwidth compression of noisy speech
-
J.S. Lim, and A.V. Oppenheim Enhancement and bandwidth compression of noisy speech Proc. IEEE 67 12 1979 1586 1604
-
(1979)
Proc. IEEE
, vol.67
, Issue.12
, pp. 1586-1604
-
-
Lim, J.S.1
Oppenheim, A.V.2
-
16
-
-
84906262433
-
Speech enhancement based on deep denoising autoencoder
-
X. Lu, Y. Tsao, S. Matsuda, and C. Hori Speech enhancement based on deep denoising autoencoder Annu. Conf. Int. Speech Commun. Assoc., INTERSPEECH 2013 436 440
-
(2013)
Annu. Conf. Int. Speech Commun. Assoc., INTERSPEECH
, pp. 436-440
-
-
Lu, X.1
Tsao, Y.2
Matsuda, S.3
Hori, C.4
-
17
-
-
84878409063
-
Recurrent neural networks for noise reduction in robust ASR
-
A.L. Maas, Q.V. Le, T.M. O'Neil, O. Vinyals, P. Nguyen, and A.Y. Ng Recurrent neural networks for noise reduction in robust ASR Annu. Conf. Int. Speech Commun. Assoc., INTERSPEECH 2012 22 25
-
(2012)
Annu. Conf. Int. Speech Commun. Assoc., INTERSPEECH
, pp. 22-25
-
-
Maas, A.L.1
Le, Q.V.2
O'Neil, T.M.3
Vinyals, O.4
Nguyen, P.5
Ng, A.Y.6
-
19
-
-
0029209272
-
Robust text-independent speaker identification using Gaussian mixture speaker models
-
D.A. Reynolds, and R.C. Rose Robust text-independent speaker identification using Gaussian mixture speaker models IEEE Trans. Speech Audio Process. 3 1 1995 72 83
-
(1995)
IEEE Trans. Speech Audio Process.
, vol.3
, Issue.1
, pp. 72-83
-
-
Reynolds, D.A.1
Rose, R.C.2
-
20
-
-
0032762471
-
Statistical model-based voice activity detection
-
J. Sohn, N.S. Kim, and W. Sung Statistical model-based voice activity detection IEEE Signal Process. Lett. 6 1 1999 1 3
-
(1999)
IEEE Signal Process. Lett.
, vol.6
, Issue.1
, pp. 1-3
-
-
Sohn, J.1
Kim, N.S.2
Sung, W.3
-
21
-
-
0027623210
-
Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems
-
A. Varga, and H.J.M. Steeneken Assessment for automatic speech recognition: II. NOISEX-92: a database and an experiment to study the effect of additive noise on speech recognition systems. Speech Commun. 12 3 1993 247 251
-
(1993)
Speech Commun.
, vol.12
, Issue.3
, pp. 247-251
-
-
Varga, A.1
Steeneken, H.J.M.2
-
23
-
-
79551480483
-
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
-
P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion J. Mach. Learn. Res. 11 12 2010 3371 3408
-
(2010)
J. Mach. Learn. Res.
, vol.11
, Issue.12
, pp. 3371-3408
-
-
Vincent, P.1
Larochelle, H.2
Lajoie, I.3
Bengio, Y.4
Manzagol, P.-A.5
-
24
-
-
84877728447
-
Image denoising and impainting with deep neural networks
-
J. Xie, L. Xu, and E. Chen Image denoising and impainting with deep neural networks Adv. Neural Inf. Process. Syst. 2012 341 349
-
(2012)
Adv. Neural Inf. Process. Syst.
, pp. 341-349
-
-
Xie, J.1
Xu, L.2
Chen, E.3
|