-
1
-
-
85032751458
-
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
-
Geoffrey Hinton, Li Deng, Dong Yu, George E Dahl, Abdelrahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N Sainath, et al., "Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups," Signal Processing Magazine, IEEE, vol. 29, no. 6, pp. 82-97, 2012.
-
(2012)
Signal Processing Magazine, IEEE
, vol.29
, Issue.6
, pp. 82-97
-
-
Hinton, G.1
Deng, L.2
Yu, D.3
Dahl, G.E.4
Mohamed, A.5
Jaitly, N.6
Senior, A.7
Vanhoucke, V.8
Nguyen, P.9
Sainath, T.N.10
-
2
-
-
84890492030
-
An investigation of deep neural networks for noise robust speech recognition
-
M.L. Seltzer, D. Yu, and Y.Q.Wang, "An investigation of deep neural networks for noise robust speech recognition," in Proc. ICASSP, 2013.
-
(2013)
Proc. ICASSP
-
-
Seltzer, M.L.1
Yu, D.2
Wang, Y.Q.3
-
3
-
-
84906272122
-
An investigation of spectral restoration algorithms for deep neural networks based noise robust speech recognition
-
B. Li, Y. Tsao, and K.C. Sim, "An investigation of spectral restoration algorithms for deep neural networks based noise robust speech recognition," in Proc. Interspeech, 2013.
-
(2013)
Proc. Interspeech
-
-
Li, B.1
Tsao, Y.2
Sim, K.C.3
-
4
-
-
84867626068
-
Revisiting recurrent neural networks for robust ASR
-
O. Vinyals, S.V. Ravuri, and D. Povey, "Revisiting recurrent neural networks for robust ASR," in Proc. ICASSP, 2012.
-
(2012)
Proc. ICASSP
-
-
Vinyals, O.1
Ravuri, S.V.2
Povey, D.3
-
5
-
-
84878409063
-
Recurrent neural networks for noise reduction in robust ASR
-
A.L. Maas, Q.V. Le, et al., "Recurrent neural networks for noise reduction in robust ASR," in Proc. Interspeech, 2012.
-
(2012)
Proc. Interspeech
-
-
Maas, A.L.1
Le, Q.V.2
-
6
-
-
84867621164
-
Factorial hidden restricted boltzmann machines for noise robust speech recognition
-
S.J. Rennie, P. Fousek, and P.L. Dognin, "Factorial hidden restricted boltzmann machines for noise robust speech recognition," in Proc. ICASSP. IEEE, 2012.
-
(2012)
Proc. ICASSP. IEEE
-
-
Rennie, S.J.1
Fousek, P.2
Dognin, P.L.3
-
7
-
-
84890532503
-
Noise adaptive front-end normalization based on vector taylor series for deep neural networks in robust speech recognition
-
B. Li and K.C. Sim, "Noise adaptive front-end normalization based on vector taylor series for deep neural networks in robust speech recognition," in Proc. ICASSP, 2013.
-
(2013)
Proc. ICASSP
-
-
Li, B.1
Sim, K.C.2
-
8
-
-
84901502980
-
Feature learning in deep neural networks-a study on speech recognition tasks
-
D. Yu, M.L. Seltzer, J.Y. Li, J.T. Huang, and F. Seide, "Feature learning in deep neural networks-a study on speech recognition tasks," in Proc. ICLR, 2013.
-
(2013)
Proc. ICLR
-
-
Yu, D.1
Seltzer, M.L.2
Li, J.Y.3
Huang, J.T.4
Seide, F.5
-
9
-
-
84867720412
-
-
arXiv:1207.0580
-
G.E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R.R. Salakhutdinov, "Improving neural networks by preventing co-adaptation of feature detectors," arXiv:1207.0580, 2012.
-
(2012)
Improving Neural Networks by Preventing Co-adaptation of Feature Detectors
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.R.5
-
10
-
-
84893655589
-
Improving robustness of deep neural networks via spectral masking for automatic speech recognition
-
B. Li and K.C. Sim, "Improving robustness of deep neural networks via spectral masking for automatic speech recognition," in Proc. ASRU. IEEE, 2013.
-
(2013)
Proc. ASRU. IEEE
-
-
Li, B.1
Sim, K.C.2
-
12
-
-
82255178542
-
-
D.L. Wang, G.J. Brown, et al., Computational auditory scene analysis: Principles, algorithms, and applications, 2006.
-
(2006)
Computational Auditory Scene Analysis: Principles, Algorithms, and Applications
-
-
Wang, D.L.1
Brown, G.J.2
-
13
-
-
84892233308
-
On ideal binary mask as the computational goal of auditory scene analysis
-
D.L. Wang, "On ideal binary mask as the computational goal of auditory scene analysis," Speech separation by humans and machines, 2005.
-
(2005)
Speech Separation by Humans and Machines
-
-
Wang, D.L.1
-
15
-
-
84893655369
-
Nothing doing: Reevaluating missing feature ASR
-
W. Hartmann, A. Narayanan, et al., "Nothing doing: Reevaluating missing feature ASR," Reconstruction, 2011.
-
(2011)
Reconstruction
-
-
Hartmann, W.1
Narayanan, A.2
-
16
-
-
84881088302
-
A direct masking approach to robust asr
-
W. Hartmann, A. Narayanan, E. Fosler-Lussier, and D.L. Wang, "A direct masking approach to robust asr," Audio, Speech, and Language Processing, IEEE Transactions on, 2013.
-
(2013)
Audio, Speech, and Language Processing, IEEE Transactions on
-
-
Hartmann, W.1
Narayanan, A.2
Fosler-Lussier, E.3
Wang, D.L.4
-
17
-
-
84890493989
-
Ideal ratio mask estimation using deep neural networks for robust speech recognition
-
A. Narayanan and D.L. Wang, "Ideal ratio mask estimation using deep neural networks for robust speech recognition," in Proc. ICASSP. IEEE, 2013.
-
(2013)
Proc. ICASSP. IEEE
-
-
Narayanan, A.1
Wang, D.L.2
-
18
-
-
33845354768
-
Isolating the energetic component of speech-on-speech masking with ideal time-frequency segregation
-
D.S. Brungart, P.S. Chang, B.D. Simpson, and D.L. Wang, "Isolating the energetic component of speech-on-speech masking with ideal time-frequency segregation," The Journal of the Acoustical Society of America, vol. 120, pp. 4007, 2006.
-
(2006)
The Journal of the Acoustical Society of America
, vol.120
, pp. 4007
-
-
Brungart, D.S.1
Chang, P.S.2
Simpson, B.D.3
Wang, D.L.4
-
19
-
-
64649103540
-
Speech intelligibility in background noise with ideal binary time-frequency masking
-
D.L. Wang, U. Kjems, M.S. Pedersen, J.B. Boldt, and T. Lunner, "Speech intelligibility in background noise with ideal binary time-frequency masking," The Journal of the Acoustical Society of America, vol. 125, pp. 2336, 2009.
-
(2009)
The Journal of the Acoustical Society of America
, vol.125
, pp. 2336
-
-
Wang, D.L.1
Kjems, U.2
Pedersen, M.S.3
Boldt, J.B.4
Lunner, T.5
-
20
-
-
84905278691
-
Investigation of speech separation as a front-end for noise robust speech recognition
-
A. Narayanan and D.L.Wang, "Investigation of speech separation as a front-end for noise robust speech recognition," OSUCISRC-6/13-TR14, 2013.
-
(2013)
OSUCISRC-6/13-TR14
-
-
Narayanan, A.1
Wang, D.L.2
-
21
-
-
56149125973
-
Aurora working group: DSR front end LVCSR evaluation AU/384/02
-
Mississippi State University, Tech. Rep
-
N. Parihar and J. Picone, "Aurora working group: DSR front end LVCSR evaluation AU/384/02," Inst. for Signal and Information Process, Mississippi State University, Tech. Rep, 2002.
-
(2002)
Inst. for Signal and Information Process
-
-
Parihar, N.1
Picone, J.2
|