-
1
-
-
34147179506
-
Association pattern language modeling
-
Sep
-
J.-T. Chien, "Association pattern language modeling, " IEEE Trans. Audio, Speech, Language Process., vol. 14, no. 5, pp. 1719-1728, Sep. 2006.
-
(2006)
IEEE Trans. Audio, Speech, Language Process
, vol.14
, Issue.5
, pp. 1719-1728
-
-
Chien, J.-T.1
-
2
-
-
0025446887
-
A cache-based natural language model for speech recognition
-
Jun
-
R. Kuhn and R. de Mori, "A cache-based natural language model for speech recognition, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, no. 6, pp. 570-583, Jun. 1990.
-
(1990)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.12
, Issue.6
, pp. 570-583
-
-
Kuhn, R.1
De Mori, R.2
-
3
-
-
78149256857
-
Dirichlet class language models for speech recognition
-
Mar
-
J.-T. Chien and C.-H. Chueh, "Dirichlet class language models for speech recognition, " IEEE Trans. Audio, Speech, Language Process., vol. 19, no. 3, pp. 482-495, Mar. 2011.
-
(2011)
IEEE Trans. Audio, Speech, Language Process
, vol.19
, Issue.3
, pp. 482-495
-
-
Chien, J.-T.1
Chueh, C.-H.2
-
4
-
-
85022919385
-
Class-based n-gram models of natural language
-
Dec
-
P. F. Brown, V. J. Della Pietra, P. V. deSouza, J. C. Lai, and R. L. Mercer, "Class-based n-gram models of natural language, " Comput. Linguistics, vol. 18, no. 4, pp. 467-479, Dec. 1992.
-
(1992)
Comput. Linguistics
, vol.18
, Issue.4
, pp. 467-479
-
-
Brown, P.F.1
Della Pietra, V.J.2
DeSouza, P.V.3
Lai, J.C.4
Mercer, R.L.5
-
5
-
-
0028996876
-
Improved backing-off for M-gram language modeling
-
Detroit, MI, USA May
-
R. Kneser and H. Ney, "Improved backing-off for M-gram language modeling, " in Proc. Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Detroit, MI, USA, May 1995, pp. 181-184.
-
(1995)
Proc. Int. Conf. Acoust., Speech, Signal Process. (ICASSP)
, pp. 181-184
-
-
Kneser, R.1
Ney, H.2
-
6
-
-
0033329799
-
An empirical study of smoothing techniques for language modeling
-
Oct
-
S. F. Chen and J. Goodman, "An empirical study of smoothing techniques for language modeling, " Comput. Speech Lang., vol. 13, no. 4, pp. 359-394, Oct. 1999.
-
(1999)
Comput. Speech Lang
, vol.13
, Issue.4
, pp. 359-394
-
-
Chen, S.F.1
Goodman, J.2
-
7
-
-
0142166851
-
A neural probabilistic language model
-
Feb
-
Y. Bengio, R. Ducharme, P. Vincent, and C. Janvin, "A neural probabilistic language model, " J. Mach. Learn. Res., vol. 3, pp. 1137-1155, Feb. 2003.
-
(2003)
J. Mach. Learn. Res
, vol.3
, pp. 1137-1155
-
-
Bengio, Y.1
Ducharme, R.2
Vincent, P.3
Janvin, C.4
-
8
-
-
4544239594
-
Exact training of a neural syntactic language model
-
Montreal, QC, Canada May
-
A. Emami and F. Jelinek, "Exact training of a neural syntactic language model, " in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), vol. 1. Montreal, QC, Canada, May 2004, pp. I-245-I-248.
-
(2004)
Proc IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP)
, vol.1
, pp. I245-I248
-
-
Emami, A.1
Jelinek, F.2
-
9
-
-
33847610331
-
Continuous space language models
-
Jul
-
H. Schwenk, "Continuous space language models, " Comput. Speech Lang., vol. 21, no. 3, pp. 492-518, Jul. 2007.
-
(2007)
Comput. Speech Lang
, vol.21
, Issue.3
, pp. 492-518
-
-
Schwenk, H.1
-
10
-
-
85075436378
-
Deep neural network language models
-
Jun
-
E. Arisoy, T. N. Sainath, B. Kingsbury, and B. Ramabhadran, "Deep neural network language models, " in Proc. North Amer. Chapter Assoc. Comput. Linguistics-Human Lang. Technol. Workshop (NAACL-HLT), Montreal, QC, Canada, Jun. 2012, pp. 20-28.
-
(2012)
Proc. North Amer. Chapter Assoc. Comput. Linguistics-Human Lang. Technol. Workshop (NAACL-HLT), Montreal, QC, Canada
, pp. 20-28
-
-
Arisoy, E.1
Sainath, T.N.2
Kingsbury, B.3
Ramabhadran, B.4
-
11
-
-
79959829092
-
Recurrent neural network based language model
-
Sep
-
T. Mikolov, M. Karafiát, L. Burget, J. Cernocký, and S. Khudanpur, "Recurrent neural network based language model, " in Proc. 11th Annu. Conf. Int. Speech Commun. Assoc. (INTERSPEECH), Chiba, Japan, Sep. 2010, pp. 1045-1048.
-
(2010)
Proc. 11th Annu. Conf. Int. Speech Commun. Assoc. (INTERSPEECH), Chiba, Japan
, pp. 1045-1048
-
-
Mikolov, T.1
Karafiát, M.2
Burget, J.3
Cernocký, S.4
Khudanpur, L.5
-
12
-
-
84865803833
-
Empirical evaluation and combination of advanced language modeling techniques
-
Aug
-
T. Mikolov, A. Deoras, S. Kombrink, L. Burget, and J. Cernocký, "Empirical evaluation and combination of advanced language modeling techniques, " in Proc. Annu. Conf. Int. Speech Commun. Assoc. (INTERSPEECH), Florence, Italy, Aug. 2011, pp. 605-608.
-
(2011)
Proc. Annu. Conf. Int. Speech Commun. Assoc. (INTERSPEECH), Florence, Italy
, pp. 605-608
-
-
Mikolov, T.1
Deoras, A.2
Kombrink, S.3
Burget, L.4
Cernocký, J.5
-
13
-
-
84910091099
-
One billion word benchmark for measuring progress in statistical language modeling
-
Sep
-
C. Chelba et al., "One billion word benchmark for measuring progress in statistical language modeling, " in Proc. Annu. Conf. Int. Speech Commun. Assoc. (INTERSPEECH), Singapore, Sep. 2014, pp. 2635-2639.
-
(2014)
Proc. Annu. Conf. Int. Speech Commun. Assoc. (INTERSPEECH), Singapore
, pp. 2635-2639
-
-
Chelba, C.1
-
14
-
-
0003611509
-
-
Ph.D. dissertation Dept. Comput. Sci., Univ. Toronto, Toronto, ON, Canada
-
R. M. Neal, "Bayesian learning for neural networks, " Ph.D. dissertation, Dept. Comput. Sci., Univ. Toronto, Toronto, ON, Canada, 1995.
-
(1995)
Bayesian Learning for Neural Networks
-
-
Neal, R.M.1
-
15
-
-
0002704818
-
A practical Bayesian framework for backpropagation networks
-
May
-
D. J. C. MacKay, "A practical Bayesian framework for backpropagation networks, " Neural Comput., vol. 4, no. 3, pp. 448-472, May 1992.
-
(1992)
Neural Comput
, vol.4
, Issue.3
, pp. 448-472
-
-
MacKay, D.J.C.1
-
18
-
-
0028392483
-
Learning long-Term dependencies with gradient descent is difficult
-
Mar
-
Y. Bengio, P. Simard, and P. Frasconi, "Learning long-Term dependencies with gradient descent is difficult, " IEEE Trans. Neural Netw., vol. 5, no. 2, pp. 157-166, Mar. 1994.
-
(1994)
IEEE Trans. Neural Netw
, vol.5
, Issue.2
, pp. 157-166
-
-
Bengio, Y.1
Simard, P.2
Frasconi, P.3
-
19
-
-
85032751472
-
Large-vocabulary continuous speech recognition systems: A look at some recent advances
-
Nov
-
G. Saon and J.-T. Chien, "Large-vocabulary continuous speech recognition systems: A look at some recent advances, " IEEE Signal Process. Mag., vol. 29, no. 6, pp. 18-33, Nov. 2012.
-
(2012)
IEEE Signal Process. Mag
, vol.29
, Issue.6
, pp. 18-33
-
-
Saon, G.1
Chien, J.-T.2
-
20
-
-
0030715922
-
Task adaptation using MAP estimation in N-gram language modeling
-
Apr
-
H. Masataki, Y. Sagisaka, K. Hisaki, and T. Kawahara, "Task adaptation using MAP estimation in N-gram language modeling, " in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Munich, Germany, Apr. 1997, pp. 783-786.
-
(1997)
Proc IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Munich, Germany
, pp. 783-786
-
-
Masataki, H.1
Sagisaka, Y.2
Hisaki, K.3
Kawahara, T.4
-
21
-
-
84863387613
-
Shrinking exponential language models
-
Jun
-
S. F. Chen, "Shrinking exponential language models, " in Proc. North Amer. Chapter Assoc. Comput. Linguistics-Human Lang. Technol. Workshop (NAACL-HLT), Boulder, CO, USA, Jun. 2009, pp. 468-476.
-
(2009)
Proc. North Amer. Chapter Assoc. Comput. Linguistics-Human Lang. Technol. Workshop (NAACL-HLT), Boulder, CO, USA
, pp. 468-476
-
-
Chen, S.F.1
-
22
-
-
0030181951
-
A maximum entropy approach to adaptive statistical language modelling
-
Jul
-
R. Rosenfeld, "A maximum entropy approach to adaptive statistical language modelling, " Comput. Speech Lang., vol. 10, no. 3, pp. 187-228, Jul. 1996.
-
(1996)
Comput. Speech Lang
, vol.10
, Issue.3
, pp. 187-228
-
-
Rosenfeld, R.1
-
23
-
-
0141607824
-
Latent Dirichlet allocation
-
Jan
-
D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent Dirichlet allocation, " J. Mach. Learn. Res., vol. 3, pp. 993-1022, Jan. 2003.
-
(2003)
J. Mach. Learn. Res
, vol.3
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
-
24
-
-
38049151407
-
A hierarchical Bayesian language model based on Pitman-Yor processes
-
Jul
-
Y. W. Teh, "A hierarchical Bayesian language model based on Pitman-Yor processes, " in Proc. 21st Int. Conf. Comput. Linguistics, 44th Annu. Meeting Assoc. Comput. Linguistics, Sydney, NSW, Australia, Jul. 2006, pp. 985-992.
-
(2006)
Proc. 21st Int. Conf. Comput. Linguistics, 44th Annu. Meeting Assoc. Comput. Linguistics, Sydney, NSW, Australia
, pp. 985-992
-
-
Teh, Y.W.1
-
25
-
-
0031534984
-
The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
-
Apr
-
J. Pitman and M. Yor, "The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator, " Ann. Probab., vol. 25, no. 2, pp. 855-900, Apr. 1997.
-
(1997)
Ann. Probab
, vol.25
, Issue.2
, pp. 855-900
-
-
Pitman, J.1
Yor, M.2
-
26
-
-
84930629832
-
Hierarchical Pitman-Yor-Dirichlet language model
-
Aug
-
J.-T. Chien, "Hierarchical Pitman-Yor-Dirichlet language model, " IEEE/ACM Trans. Audio, Speech, Language Process., vol. 23, no. 8, pp. 1259-1272, Aug. 2015.
-
(2015)
IEEE/ACM Trans. Audio, Speech, Language Process
, vol.23
, Issue.8
, pp. 1259-1272
-
-
Chien, J.-T.1
-
27
-
-
76749091461
-
Recursive Bayesian recurrent neural networks for time-series modeling
-
Feb
-
D. T. Mirikitani and N. Nikolaev, "Recursive Bayesian recurrent neural networks for time-series modeling, " IEEE Trans. Neural Netw., vol. 21, no. 2, pp. 262-274, Feb. 2010.
-
(2010)
IEEE Trans. Neural Netw
, vol.21
, Issue.2
, pp. 262-274
-
-
Mirikitani, D.T.1
Nikolaev, N.2
-
28
-
-
84928144050
-
Bayesian regularisation methods in a hybrid MLP-HMM system
-
Sep
-
S. Renals and D. J. C. MacKay, "Bayesian regularisation methods in a hybrid MLP-HMM system, " in Proc. 3rd Eur. Conf. Speech Commun. Technol. (EUROSPEECH), Berlin, Germany, Sep. 1993, pp. 1719-1722.
-
(1993)
Proc. 3rd Eur. Conf. Speech Commun. Technol. (EUROSPEECH), Berlin, Germany
, pp. 1719-1722
-
-
Renals, S.1
MacKay, D.J.C.2
-
29
-
-
0022471098
-
Learning representations by back-propagating errors
-
Oct
-
D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning representations by back-propagating errors, " Nature, vol. 323, pp. 533-536, Oct. 1986.
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
30
-
-
0000234257
-
The evidence framework applied to classification networks
-
Sep
-
D. J. C. MacKay, "The evidence framework applied to classification networks, " Neural Comput., vol. 4, no. 5, pp. 720-736, Sep. 1992.
-
(1992)
Neural Comput
, vol.4
, Issue.5
, pp. 720-736
-
-
MacKay, D.J.C.1
-
31
-
-
84912113889
-
Rapid Bayesian learning for recurrent neural network language model
-
Sep
-
J.-T. Chien, Y.-C. Ku, and M.-Y. Huang, "Rapid Bayesian learning for recurrent neural network language model, " in Proc. 9th Int. Symp. Chin. Spoken Lang. Process. (ISCSLP), Singapore, Sep. 2014, pp. 34-38.
-
(2014)
Proc. 9th Int. Symp. Chin. Spoken Lang. Process. (ISCSLP), Singapore
, pp. 34-38
-
-
Chien, J.-T.1
Ku, Y.-C.2
Huang, M.-Y.3
-
32
-
-
84946072615
-
Bayesian recurrent neural network language model
-
Dec
-
J.-T. Chien and Y.-C. Ku, "Bayesian recurrent neural network language model, " in Proc. IEEE Spoken Lang. Technol. Workshop (SLT), South Lake Tahoe, NV, USA, Dec. 2014, pp. 206-211.
-
(2014)
Proc IEEE Spoken Lang. Technol. Workshop (SLT), South Lake Tahoe, NV, USA
, pp. 206-211
-
-
Chien, J.-T.1
Ku, Y.-C.2
-
33
-
-
84891308106
-
SRILM-An extensible language modeling toolkit
-
Sep
-
A. Stolcke, "SRILM-An extensible language modeling toolkit, " in Proc. Int. Conf. Spoken Lang. Process. (ICSLP), Denver, CO, USA, Sep. 2002, pp. 901-904.
-
(2002)
Proc. Int. Conf. Spoken Lang. Process. (ICSLP), Denver, CO, USA
, pp. 901-904
-
-
Stolcke, A.1
-
34
-
-
84858966958
-
RNNLM-Recurrent neural network language modeling toolkit
-
Dec
-
T. Mikolov, A. Deoras, S. Kombrink, L. Burget, and J. H. Cernocký, "RNNLM-Recurrent neural network language modeling toolkit, " in Proc. IEEE Autom. Speech Recognit. Understand. Workshop (ASRU), Waikoloa, HI, USA, Dec. 2011, pp. 196-201.
-
(2011)
Proc IEEE Autom. Speech Recognit. Understand. Workshop (ASRU), Waikoloa, HI, USA
, pp. 196-201
-
-
Mikolov, T.1
Deoras, A.2
Kombrink, S.3
Burget, L.4
Cernocký, J.H.5
-
35
-
-
84954409828
-
Laplace group sensing for acoustic models
-
May
-
J.-T. Chien, "Laplace group sensing for acoustic models, " IEEE/ACM Trans. Audio, Speech, Language Process., vol. 23, no. 5, pp. 909-922, May 2015.
-
(2015)
IEEE/ACM Trans. Audio, Speech, Language Process
, vol.23
, Issue.5
, pp. 909-922
-
-
Chien, J.-T.1
-
36
-
-
80051643236
-
Extensions of recurrent neural network language model
-
May
-
T. Mikolov, S. Kombrink, L. Burget, J. H. Cernocký, and S. Khudanpur, "Extensions of recurrent neural network language model, " in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. (ICASSP), Prague, Czech Republic, May 2011, pp. 5528-5531.
-
(2011)
Proc IEEE Int. Conf. Acoust., Speech Signal Process. (ICASSP), Prague, Czech Republic
, pp. 5528-5531
-
-
Mikolov, T.1
Kombrink, S.2
Burget, L.3
Cernocký, J.H.4
Khudanpur, S.5
-
37
-
-
84858953642
-
The Kaldi speech recognition toolkit
-
Dec
-
D. Povey et al., "The Kaldi speech recognition toolkit, " in Proc. IEEE Autom. Speech Recognit. Understand. Workshop (ASRU), Waikoloa, HI, USA, Dec. 2011.
-
(2011)
Proc IEEE Autom. Speech Recognit. Understand. Workshop (ASRU), Waikoloa, HI, USA
-
-
Povey, D.1
-
38
-
-
84946033546
-
Tikhonov regularization for deep neural network acoustic modeling
-
Dec
-
J.-T. Chien and T.-W. Lu, "Tikhonov regularization for deep neural network acoustic modeling, " in Proc. IEEE Spoken Lang. Technol. Workshop (SLT), South Lake Tahoe, NV, USA, Dec. 2014, pp. 147-152.
-
(2014)
Proc IEEE Spoken Lang. Technol. Workshop (SLT), South Lake Tahoe, NV, USA
, pp. 147-152
-
-
Chien, J.-T.1
Lu, T.-W.2
-
39
-
-
0033677121
-
Maximum likelihood discriminant feature spaces
-
Jun. Istanbul, Turkey
-
G. Saon, M. Padmanabhan, R. Gopinath, and S. Chen, "Maximum likelihood discriminant feature spaces, " in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), vol. 2. Istanbul, Turkey, Jun. 2000, pp. 1129-1132.
-
(2000)
Proc IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP
, vol.2
, pp. 1129-1132
-
-
Saon, G.1
Padmanabhan, M.2
Gopinath, R.3
Chen, S.4
-
40
-
-
0032050110
-
Maximum likelihood linear transformations for HMMbased speech recognition
-
Apr
-
M. J. F. Gales, "Maximum likelihood linear transformations for HMMbased speech recognition, " Comput. Speech Lang., vol. 12, no. 2, pp. 75-98, Apr. 1998.
-
(1998)
Comput. Speech Lang
, vol.12
, Issue.2
, pp. 75-98
-
-
Gales, M.J.F.1
-
41
-
-
84874235486
-
Context dependent recurrent neural network language model
-
Dec
-
T. Mikolov and G. Zweig, "Context dependent recurrent neural network language model, " in Proc. IEEE Spoken Lang. Technol. Workshop (SLT), Miami, FL, USA, Dec. 2012, pp. 234-239.
-
(2012)
Proc IEEE Spoken Lang. Technol. Workshop (SLT), Miami, FL, USA
, pp. 234-239
-
-
Mikolov, T.1
Zweig, G.2
|