-
1
-
-
0033884858
-
Speaker verification using adapted Gaussian mixture models
-
D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, "Speaker verification using adapted Gaussian mixture models, " Digital Signal Process., pp. 19-41, 2000.
-
(2000)
Digital Signal Process.
, pp. 19-41
-
-
Reynolds, D.A.1
Quatieri, T.F.2
Dunn, R.B.3
-
2
-
-
10044240378
-
Improved adaptive gaussian mixture model for background subtraction
-
Z. Zivkovic, "Improved adaptive gaussian mixture model for background subtraction, " in Proc. ICPR, 2004, vol. 2, pp. 23-26.
-
(2004)
Proc. ICPR
, vol.2
, pp. 23-26
-
-
Zivkovic, Z.1
-
3
-
-
34547504101
-
Model complexity selection and cross-validation EM training for robust speaker diarization
-
X. Anguera, T. Shinozaki, C. Wooters, and J. Hernando, "Model complexity selection and cross-validation EM training for robust speaker diarization, " in Proc. ICASSP, 2007, vol. IV, pp. 273-276.
-
(2007)
Proc. ICASSP
, vol.4
, pp. 273-276
-
-
Anguera, X.1
Shinozaki, T.2
Wooters, C.3
Hernando, J.4
-
4
-
-
0002144369
-
Tree-based state tying for high accuracy acoustic modelling
-
S. Young, J. Odell, and P. Woodland, "Tree-based state tying for high accuracy acoustic modelling, " in Proc. ARPA Workshop Human Lang. Technol., 1994, pp. 307-312.
-
(1994)
Proc. ARPA Workshop Human Lang. Technol.
, pp. 307-312
-
-
Young, S.1
Odell, J.2
Woodland, P.3
-
5
-
-
0016355478
-
A new look at the statistical model identification
-
Dec
-
H. Akaike, "A new look at the statistical model identification, " IEEE Trans. Autom. Control, vol. AC-19, no. 6, pp. 716-723, Dec. 1974.
-
(1974)
IEEE Trans. Autom. Control
, vol.AC-19
, Issue.6
, pp. 716-723
-
-
Akaike, H.1
-
6
-
-
0021466584
-
Universal coding, information, prediction, and estimation
-
Jul
-
J. Rissanen, "Universal coding, information, prediction, and estimation, " IEEE Trans. Inf. Theory, vol. IT-30, no. 4, pp. 629-638, Jul. 1984.
-
(1984)
IEEE Trans. Inf. Theory
, vol.IT-30
, Issue.4
, pp. 629-638
-
-
Rissanen, J.1
-
7
-
-
85135145174
-
Acoustic modeling based on the MDL principle for speech recognition
-
K. Shinoda and T. Watanabe, "Acoustic modeling based on the MDL principle 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
-
8
-
-
34147153716
-
A comparative evaluation of variance flooring techniques in HMM-based speaker verification
-
in, Sydney, Australia
-
H. Melin, J. W. Koolwaaij, J. Lindberg, and F. Bimbot, "A comparative evaluation of variance flooring techniques in HMM-based speaker verification, " in Proc. ICSLP, Sydney, Australia, 1998, pp. 2379-2382.
-
(1998)
Proc. ICSLP
, pp. 2379-2382
-
-
Melin, H.1
Koolwaaij, J.W.2
Lindberg, J.3
Bimbot, F.4
-
11
-
-
0017336301
-
Asymptotics for and against cross-validation
-
Apr
-
M. Stone, "Asymptotics for and against cross-validation, " Biometrika, vol. 64, no. 1, pp. 29-35, Apr. 1977.
-
(1977)
Biometrika
, vol.64
, Issue.1
, pp. 29-35
-
-
Stone, M.1
-
12
-
-
85135141040
-
Automatic architecture design by likelihood-based context clustering with crossvalidation
-
in, Rhodes, Greece
-
I. Rogina, "Automatic architecture design by likelihood-based context clustering with crossvalidation, " in Proc. Eurospeech, Rhodes, Greece, 1997, pp. 1223-1226.
-
(1997)
Proc. Eurospeech
, pp. 1223-1226
-
-
Rogina, I.1
-
13
-
-
33947650089
-
HMM state clustering based on efficient cross-validation
-
in, Toulouse, France
-
T. Shinozaki, "HMM state clustering based on efficient cross-validation, " in Proc. ICASSP, Toulouse, France, 2006, vol. I, pp. 1157-1160.
-
(2006)
Proc. ICASSP
, vol.1
, pp. 1157-1160
-
-
Shinozaki, T.1
-
14
-
-
44849119309
-
Gaussian mixture optimization for HMM based on efficient cross-validation
-
T. Shinozaki and T. Kawahara, "Gaussian mixture optimization for HMM based on efficient cross-validation, " in Proc. Interspeech, 2007, pp. 2061-2064.
-
(2007)
Proc. Interspeech
, pp. 2061-2064
-
-
Shinozaki, T.1
Kawahara, T.2
-
15
-
-
0030715097
-
HMM topology design using maximum likelihood successive state splitting
-
M. Ostendorf and H. Singer, "HMM topology design using maximum likelihood successive state splitting, " Comput. Speech Lang., vol. 11, pp. 17-41, 1997.
-
(1997)
Comput. Speech Lang.
, vol.11
, pp. 17-41
-
-
Ostendorf, M.1
Singer, H.2
-
16
-
-
33645797655
-
Utterance-based selective training for the automatic creation of task-dependent acoustic models
-
T. Cincarek, T. Tomoki, H. Saruwatari, and K. Shikano, "Utterance-based selective training for the automatic creation of task-dependent acoustic models, " IEICE Trans. Inf. Syst., vol. E89-D, no. 3, pp. 962-969, 2006.
-
(2006)
IEICE Trans. Inf. Syst.
, vol.E89-D
, Issue.3
, pp. 962-969
-
-
Cincarek, T.1
Tomoki, T.2
Saruwatari, H.3
Shikano, K.4
-
17
-
-
84867216283
-
Aggregated cross-validation and its efficient application to Gaussian mixture optimization
-
T. Shinozaki, S. Furui, and T. Kawahara, "Aggregated cross-validation and its efficient application to Gaussian mixture optimization, " in Proc. Interspeech, 2008, pp. 2382-2385.
-
(2008)
Proc. Interspeech
, pp. 2382-2385
-
-
Shinozaki, T.1
Furui, S.2
Kawahara, T.3
-
18
-
-
0030211964
-
Bagging predictors
-
L. Breiman, "Bagging predictors, " Mach. Learn., vol. 24, no. 2, pp. 123-140, 1996.
-
(1996)
Mach. Learn.
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
19
-
-
35549000218
-
Cross-validation and aggregated EM training for robust parameter estimation
-
T. Shinozaki and M. Ostendorf, "Cross-validation and aggregated EM training for robust parameter estimation, " Comput. Speech Lang., vol. 22, no. 2, pp. 185-195, 2008.
-
(2008)
Comput. Speech Lang.
, vol.22
, Issue.2
, pp. 185-195
-
-
Shinozaki, T.1
Ostendorf, M.2
-
20
-
-
51449090592
-
GMM and HMM training by aggregatedEM algorithm with increased ensemble sizes for robust parameter estimation
-
T. Shinozaki and T. Kawahara, "GMM and HMM training by aggregatedEM algorithm with increased ensemble sizes for robust parameter estimation, " in Proc. ICASSP, 2008, pp. 4405-4408.
-
(2008)
Proc. ICASSP
, pp. 4405-4408
-
-
Shinozaki, T.1
Kawahara, T.2
-
21
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
no. Series B 39
-
A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm, " J. R. Statist. Soc., no. 1, pp. 1-38, 1977, no. Series B 39.
-
(1977)
J. R. Statist. Soc.
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
22
-
-
3042854734
-
Benchmark test for speech recognition using the Corpus of Spontaneous Japanese
-
T. Kawahara, H. Nanjo, T. Shinozaki, and S. Furui, "Benchmark test for speech recognition using the Corpus of Spontaneous Japanese, " in Proc. SSPR2003, 2003, pp. 135-138.
-
(2003)
Proc. SSPR2003
, pp. 135-138
-
-
Kawahara, T.1
Nanjo, H.2
Shinozaki, T.3
Furui, S.4
-
23
-
-
0003822743
-
-
Cambridge, U. K.: Cambridge Univ. Eng. Dept.
-
S. Young et al., The HTK Book. Cambridge, U. K.: Cambridge Univ. Eng. Dept., 2005.
-
(2005)
The HTK Book
-
-
Young, S.1
-
24
-
-
85128340946
-
An efficient two-pass search algorithm using word trellis index
-
A. Lee, T. Kawahara, and S. Doshita, "An efficient two-pass search algorithm using word trellis index, " in Proc. ICSLP, 1998, pp. 1831-1834.
-
(1998)
Proc. ICSLP
, pp. 1831-1834
-
-
Lee, A.1
Kawahara, T.2
Doshita, S.3
-
25
-
-
0024909979
-
Some statistical issues in the comparison of speech recognition algorithms
-
L. Gillick and S. Cox, "Some statistical issues in the comparison of speech recognition algorithms, " in Proc. ICASSP, vol. 89, pp. 532-535.
-
Proc. ICASSP
, vol.89
, pp. 532-535
-
-
Gillick, L.1
Cox, S.2
-
26
-
-
0033225865
-
An introduction to variational methods for graphical models
-
M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, and L. K. Saul, "An introduction to variational methods for graphical models, " Mach. Learn., vol. 37, pp. 183-233, 1999.
-
(1999)
Mach. Learn.
, vol.37
, pp. 183-233
-
-
Jordan, M.I.1
Ghahramani, Z.2
Jaakkola, T.S.3
Saul, L.K.4
-
27
-
-
33646418145
-
Automatic determination of acoustic model topology using variational Bayesian estimation and clustering for large vocabulary continuous speech recognition
-
May
-
S. Watanabe, A. Sako, and A. Nakamura, "Automatic determination of acoustic model topology using variational Bayesian estimation and clustering for large vocabulary continuous speech recognition, " IEEE Trans. Speech Audio Process., vol. 14, no. 3, pp. 855-872, May 2006.
-
(2006)
IEEE Trans. Speech Audio Process.
, vol.14
, Issue.3
, pp. 855-872
-
-
Watanabe, S.1
Sako, A.2
Nakamura, A.3
-
28
-
-
84867213785
-
Bayesian context clustering using cross valid prior distribution for HMM-based speech recognition
-
K. Hashimoto, H. Zen, Y. Nankaku, A. Lee, and K. Tokuda, "Bayesian context clustering using cross valid prior distribution for HMM-based speech recognition, " in Proc. Interspeech, 2008, pp. 936-939.
-
(2008)
Proc. Interspeech
, pp. 936-939
-
-
Hashimoto, K.1
Zen, H.2
Nankaku, Y.3
Lee, A.4
Tokuda, K.5
-
29
-
-
0022890536
-
Maximum mutual information estimation of hidden Markov model parameters for speech recognition
-
L. R. Bahl, P. F. Brown, P. V. de Souza, and R. L. Mercer, "Maximum mutual information estimation of hidden Markov model parameters for speech recognition, " in Proc. ICASSP, 1986, pp. 49-52.
-
(1986)
Proc. ICASSP
, pp. 49-52
-
-
Bahl, L.R.1
Brown, P.F.2
De Souza, P.V.3
Mercer, R.L.4
-
30
-
-
0036461035
-
Large scale discriminative training of hidden Markov models for speech recognition
-
P. C. Woodland and D. Povey, "Large scale discriminative training of hidden Markov models for speech recognition, "Comput. Speech Lang., vol. 16, pp. 25-47, 2002.
-
(2002)
Comput. Speech Lang.
, vol.16
, pp. 25-47
-
-
Woodland, P.C.1
Povey, D.2
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