-
2
-
-
70349227947
-
The application of hidden Markov models in speech recognition
-
Gales M, Young S. The application of hidden Markov models in speech recognition. Foundations and Trends in Signal Processing, 2008, 1(3): 195-304.
-
(2008)
Foundations and Trends in Signal Processing
, vol.1
, Issue.3
, pp. 195-304
-
-
Gales, M.1
Young, S.2
-
3
-
-
0022890536
-
Maximum mutual information estimation of hidden Markov model parameters for speech recognition
-
Bahl L, Brown P, De Souza P, Mercer R. Maximum mutual information estimation of hidden Markov model parameters for speech recognition. In: Proceedings of 1986 IEEE International Conference on Acoustics, Speech, and Signal Processing. 1986, 11: 49-52.
-
(1986)
Proceedings of 1986 IEEE International Conference on Acoustics, Speech, and Signal Processing
, vol.11
, pp. 49-52
-
-
Bahl, L.1
Brown, P.2
de Souza, P.3
Mercer, R.4
-
4
-
-
0031139839
-
Minimum classification error rate methods for speech recognition
-
Juang B H, Chou W, Lee C H. Minimum classification error rate methods for speech recognition. IEEE Transactions on Speech and Audio Processing, 1997, 5(3): 257-265.
-
(1997)
IEEE Transactions on Speech and Audio Processing
, vol.5
, Issue.3
, pp. 257-265
-
-
Juang, B.H.1
Chou, W.2
Lee, C.H.3
-
5
-
-
0036296863
-
Minimum phone error and Ismothing for improved discriminative training
-
Povey D, Woodland P C. Minimum phone error and Ismothing for improved discriminative training. In: Proceedings of 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing. 2002, 1: 105-108.
-
(2002)
Proceedings of 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing
, vol.1
, pp. 105-108
-
-
Povey, D.1
Woodland, P.C.2
-
6
-
-
78049356154
-
GMM-HMM acoustic model training by a two level procedure with Gaussian components determined by automatic model selection
-
Su D, Wu X H, Xu L. GMM-HMM acoustic model training by a two level procedure with Gaussian components determined by automatic model selection. In: Proceedings of 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing. 2010, 4890-4893.
-
(2010)
Proceedings of 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing
, pp. 4890-4893
-
-
Su, D.1
Wu, X.H.2
Xu, L.3
-
7
-
-
77956483883
-
Bayesian Ying-Yang system, best harmony learning, and five action circling
-
Xu L. Bayesian Ying-Yang system, best harmony learning, and five action circling. Frontiers of Electrical and Electronic Engineering in China, 2010, 5(3): 281-328.
-
(2010)
Frontiers of Electrical and Electronic Engineering in China
, vol.5
, Issue.3
, pp. 281-328
-
-
Xu, L.1
-
9
-
-
46049083679
-
Rival penalized competitive learning
-
Xu L. Rival penalized competitive learning. Scholarpedia, 2007, 2(8): 1810.
-
(2007)
Scholarpedia
, vol.2
, Issue.8
, pp. 1810
-
-
Xu, L.1
-
10
-
-
34247105235
-
A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving
-
Xu L. A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving. Pattern Recognition, 2007, 40(8): 2129-2153.
-
(2007)
Pattern Recognition
, vol.40
, Issue.8
, pp. 2129-2153
-
-
Xu, L.1
-
11
-
-
0002719797
-
The hungarian method for the assignment problem
-
Kuhn H W. The hungarian method for the assignment problem. Naval Research Logistics Quarterly, 1955, 2(1-2): 83-97.
-
(1955)
Naval Research Logistics Quarterly
, vol.2
, Issue.1-2
, pp. 83-97
-
-
Kuhn, H.W.1
-
12
-
-
60749097551
-
-
Cambridge: Cambridge University Press
-
Young S, Kershaw D, Odell J, Ollason D, Valtchev V, Woodland P. The HTK Book Version 3. 4. Cambridge: Cambridge University Press, 2006.
-
(2006)
The HTK Book Version 3.4
-
-
Young, S.1
Kershaw, D.2
Odell, J.3
Ollason, D.4
Valtchev, V.5
Woodland, P.6
-
13
-
-
34547529083
-
Evaluation of proposed modifications to MPE for large scale discriminative training
-
Povey D, Kingsbury B. Evaluation of proposed modifications to MPE for large scale discriminative training. In: Proceedings of 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. 2007, 4: IV-321-IV-324.
-
(2007)
Proceedings of 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing
, vol.4
, pp. 321-324
-
-
Povey, D.1
Kingsbury, B.2
-
15
-
-
0031222490
-
MMIE training of large vocabulary recognition systems
-
Valtchev V, Odell J J, Woodland P C, Young S J. MMIE training of large vocabulary recognition systems. Speech Communication, 1997, 22(4): 303-314.
-
(1997)
Speech Communication
, vol.22
, Issue.4
, pp. 303-314
-
-
Valtchev, V.1
Odell, J.J.2
Woodland, P.C.3
Young, S.J.4
-
17
-
-
33745208000
-
Investigations on error minimizing training criteria for discriminative training in acoustic speech recognition
-
Macherey W, Haferkamp L, Schluter R, Ney H. Investigations on error minimizing training criteria for discriminative training in acoustic speech recognition. In: Proceedings of EuroSpeech 2005. 2005, 2133-2136.
-
(2005)
Proceedings of EuroSpeech 2005
, pp. 2133-2136
-
-
Macherey, W.1
Haferkamp, L.2
Schluter, R.3
Ney, H.4
-
18
-
-
0035342391
-
Comparison of discriminative training criteria and optimization methods for speech recognition
-
Schlter R, Macherey W, Mller B, Ney H. Comparison of discriminative training criteria and optimization methods for speech recognition. Speech Communication, 2001, 34(3): 287-310.
-
(2001)
Speech Communication
, vol.34
, Issue.3
, pp. 287-310
-
-
Schlter, R.1
Macherey, W.2
Mller, B.3
Ney, H.4
-
19
-
-
44849099965
-
Phone-discriminating minimum classification error (P-MCE) training criteria for phonetic recognition
-
Fu Q, He X, Deng L. Phone-discriminating minimum classification error (P-MCE) training criteria for phonetic recognition. In: Proceedings of InterSpeech 2007. 2007, 2073-2076.
-
(2007)
Proceedings of InterSpeech
, vol.2007
, pp. 2073-2076
-
-
Fu, Q.1
He, X.2
Deng, L.3
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