-
1
-
-
0004056285
-
-
Prentice Hall PTR
-
X. D. Huang, A. Acero, and H.W. Hon, Spoken language processing, a guide to theory, algorithm, and system development, Prentice Hall PTR, 2001.
-
(2001)
Spoken Language Processing, A Guide to Theory, Algorithm, and System Development
-
-
Huang, X.D.1
Acero, A.2
Hon, H.W.3
-
2
-
-
85032751472
-
Large-vocabulary continuous speech recognition systems: A look at some recent advances
-
G. Saon and J-T Chien, "Large-vocabulary continuous speech recognition systems: A look at some recent advances," IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 18-33, 2012.
-
(2012)
IEEE Signal Processing Magazine
, vol.29
, Issue.6
, pp. 18-33
-
-
Saon, G.1
Chien, J.-T.2
-
3
-
-
84893671946
-
Discriminative methods for noise robust speech recognition: A CHiME challenge benchmark
-
Y. Tachioka, S. Watanabe, J. Le Roux, and J. R. Hershey, "Discriminative methods for noise robust speech recognition: A CHiME challenge benchmark," in Proc. International Workshop on Machine Listening in Multisource Environments (CHiME), 2013.
-
(2013)
Proc. International Workshop on Machine Listening in Multisource Environments (CHiME)
-
-
Tachioka, Y.1
Watanabe, S.2
Le Roux, J.3
Hershey, J.R.4
-
4
-
-
85032751458
-
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
-
G. Hinton, L. Deng, D. Yu, G. E. Dahl, A. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. N. Sainath, and B. Kingsbury, "Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups," IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 82-97, 2012.
-
(2012)
IEEE Signal Processing Magazine
, 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
Kingsbury, B.11
-
5
-
-
85135145174
-
Acoustic modeling based on the MDL criterion for speech recognition
-
K. Shinoda and T.Watanabe, "Acoustic modeling based on the MDL criterion for speech recognition," in Proc. Eurospeech, 1997, vol. 1, pp. 99-102.
-
(1997)
Proc. Eurospeech
, vol.1
, pp. 99-102
-
-
Shinoda, K.1
Watanabe, T.2
-
6
-
-
84875953283
-
Clustering via the Bayesian information criterion with applications in speech recognition
-
S.S. Chen and P. S. Gopalakrishnan, "Clustering via the Bayesian information criterion with applications in speech recognition," in Proc. ICASSP, 1998, vol. 2, pp. 645-648.
-
(1998)
Proc. ICASSP
, vol.2
, pp. 645-648
-
-
Chen, S.S.1
Gopalakrishnan, P.S.2
-
7
-
-
3042741069
-
Variational Bayesian estimation and clustering for speech recognition
-
S. Watanabe, Y. Minami, A. Nakamura, and N. Ueda, "Variational Bayesian estimation and clustering for speech recognition," IEEE Transactions on Speech and Audio Processing, vol. 12, pp. 365-381, 2004.
-
(2004)
IEEE Transactions on Speech and Audio Processing
, vol.12
, pp. 365-381
-
-
Watanabe, S.1
Minami, Y.2
Nakamura, A.3
Ueda, N.4
-
8
-
-
70349205593
-
An evidence framework for Bayesian learning of continuous-density hidden Markov models
-
Y. Zhang, P. Liu, J.T. Chien, and F. Soong, "An evidence framework for Bayesian learning of continuous-density hidden Markov models," in Proc. ICASSP, 2009, pp. 3857-3860.
-
(2009)
Proc. ICASSP
, pp. 3857-3860
-
-
Zhang, Y.1
Liu, P.2
Chien, J.T.3
Soong, F.4
-
9
-
-
0042879997
-
Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)
-
N. Hansen, S. D. Müller, and P. Koumoutsakos, "Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)," Evolutionary Computation, vol. 11, no. 1, pp. 1-18, 2003.
-
(2003)
Evolutionary Computation
, vol.11
, Issue.1
, pp. 1-18
-
-
Hansen, N.1
Müller, S.D.2
Koumoutsakos, P.3
-
10
-
-
80053159627
-
-
arXiv preprint arXiv:1012.2599
-
E. Brochu, V. M. Cora, and N. De Freitas, "A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning," arXiv preprint arXiv:1012.2599, 2010.
-
(2010)
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
-
-
Brochu, E.1
Cora, V.M.2
De Freitas, N.3
-
13
-
-
85162384813
-
Algorithms for hyper-parameter optimization
-
J. Bergstra, R. Bardenet, Y. Bengio, and B. Kégl, "Algorithms for hyper-parameter optimization," in Proc. NIPS, 2011.
-
(2011)
Proc. NIPS
-
-
Bergstra, J.1
Bardenet, R.2
Bengio, Y.3
Kégl, B.4
-
14
-
-
84864987645
-
-
arXiv preprint arXiv:1106.4487
-
D.Wierstra, T. Schaul, T. Glasmachers, Y. Sun, and J. Schmidhuber., "Natural evolution strategies," arXiv preprint arXiv:1106.4487, 2011.
-
(2011)
Natural Evolution Strategies
-
-
Wierstra, D.1
Schaul, T.2
Glasmachers, T.3
Sun, Y.4
Schmidhuber, J.5
-
15
-
-
0030676559
-
Optimization of HMM by a genetic algorithm
-
C. W. Chau, S. Kwong, C. K. Diu, and W. R. Fahrner, "Optimization of HMM by a genetic algorithm," in Proc. ICASSP, 1997, vol. 3, pp. 1727-1730.
-
(1997)
Proc. ICASSP
, vol.3
, pp. 1727-1730
-
-
Chau, C.W.1
Kwong, S.2
Diu, C.K.3
Fahrner, W.R.4
-
16
-
-
0034825617
-
Optimisation of HMM topology and its model parameters by genetic algorithms
-
S. Kwong, C. W. Chau, K. F. Man, and K. S. Tang, "Optimisation of HMM topology and its model parameters by genetic algorithms," Pattern Recognition, vol. 34, no. 2, pp. 509-522, 2001.
-
(2001)
Pattern Recognition
, vol.34
, Issue.2
, pp. 509-522
-
-
Kwong, S.1
Chau, C.W.2
Man, K.F.3
Tang, K.S.4
-
17
-
-
77957933139
-
Comparison of particle swarm optimization and genetic algorithm for HMM training
-
F. Yang, C. Zhang, and T. Sun, "Comparison of particle swarm optimization and genetic algorithm for HMM training," in Proc. ICPR, 2008, pp. 1-4.
-
(2008)
Proc. ICPR
, pp. 1-4
-
-
Yang, F.1
Zhang, C.2
Sun, T.3
-
18
-
-
84890527827
-
Improving deep neural networks for LVCSR using rectified linear units and dropout
-
G. E. Dahl, T. N. Sainath, and G. E. Hinton, "Improving deep neural networks for LVCSR using rectified linear units and dropout," in Proc. ICASSP, 2013, pp. 8609-8613.
-
(2013)
Proc. ICASSP
, pp. 8609-8613
-
-
Dahl, G.E.1
Sainath, T.N.2
Hinton, G.E.3
-
19
-
-
78149269859
-
Bidirectional relation between CMA evolution strategies and natural evolution strategies
-
Y. Akimoto, Y. Nagata, I. Ono, and S. Kobayashi, "Bidirectional relation between CMA evolution strategies and natural evolution strategies," in Proc. Parallel Problem Solving from Nature (PPSN), 2010, pp. 154-163.
-
(2010)
Proc. Parallel Problem Solving from Nature (PPSN)
, pp. 154-163
-
-
Akimoto, Y.1
Nagata, Y.2
Ono, I.3
Kobayashi, S.4
-
20
-
-
0000396062
-
Natural gradient works efficiently in learning
-
S. Amari, "Natural gradient works efficiently in learning," Neural computation, vol. 10, no. 2, pp. 251-276, 1998.
-
(1998)
Neural Computation
, vol.10
, Issue.2
, pp. 251-276
-
-
Amari, S.1
-
22
-
-
77955938333
-
Comparing results of 31 algorithms from the black-box optimization benchmarking bbob-2009
-
N. Hansen, A. Auger, R. Ros, S. Finck, and P. Pósík, "Comparing results of 31 algorithms from the black-box optimization benchmarking bbob-2009," in Proc. The 12th annual conference companion on Genetic and evolutionary computation (GECCO), 2010, pp. 1689-1696.
-
(2010)
Proc. The 12th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO)
, pp. 1689-1696
-
-
Hansen, N.1
Auger, A.2
Ros, R.3
Finck, S.4
Posk, P.5
-
23
-
-
84858953642
-
The Kaldi speech recognition toolkit
-
D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlcek, Y. Qian, P. Schwarz, J. Silovsk, G. Stemmer, and K. Vesel, "The Kaldi speech recognition toolkit," in Proc. ASRU, 2011.
-
(2011)
Proc. ASRU
-
-
Povey, D.1
Ghoshal, A.2
Boulianne, G.3
Burget, L.4
Glembek, O.5
Goel, N.6
Hannemann, M.7
Motlcek, P.8
Qian, Y.9
Schwarz, P.10
Silovsk, J.11
Stemmer, G.12
Vesel, K.13
-
24
-
-
84893622444
-
The REVERB challenge: A common evaluation framework for dereverberation and recognition of reverberant speech
-
K. Kinoshita, M. Delcroix, T. Yoshioka, T. Nakatani, E. Habets, R. Haeb-Umbach, V. Leutnant, A. Sehr, W. Kellermann, R. Maas, S. Gannot, and B. Raj, "The REVERB challenge: A common evaluation framework for dereverberation and recognition of reverberant speech," in Proc. of WASPAA, 2013.
-
(2013)
Proc. of WASPAA
-
-
Kinoshita, K.1
Delcroix, M.2
Yoshioka, T.3
Nakatani, T.4
Habets, E.5
Haeb-Umbach, R.6
Leutnant, V.7
Sehr, A.8
Kellermann, W.9
Maas, R.10
Gannot, S.11
Raj, B.12
-
25
-
-
84905216003
-
Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition
-
F.Weninger, S.Watanabe, Y. Tachioka, and B. Schuller, "Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition," in Proc. ICASSP, 2014, (accepted).
-
(2014)
Proc. ICASSP
-
-
Weninger, F.1
Watanabe, S.2
Tachioka, Y.3
Schuller, B.4
|