-
1
-
-
0024610919
-
A tutorial on hiddenMarkov models and selected applications in speech recognition
-
Feb.
-
L. Rabiner, "A tutorial on hiddenMarkov models and selected applications in speech recognition," Proc. IEEE, vol. 77, no. 2, pp. 257-286, Feb. 1989.
-
(1989)
Proc. IEEE
, vol.77
, Issue.2
, pp. 257-286
-
-
Rabiner, L.1
-
2
-
-
0022691022
-
MAXIMUM LIKELIHOOD ESTIMATION FOR MULTIVARIATE MIXTURE OBSERVATIONS OF MARKOV CHAINS
-
B. Juang, S. Levinson, and M. Sondhi, "Maximum likelihood estimation for multivariate mixture observations of Markov chains," IEEE Trans. Inf. Theory, vol. IT-32, no. 2, pp. 307-309, Mar. 1986. (Pubitemid 16613645)
-
(1986)
IEEE Transactions on Information Theory
, vol.IT-32
, Issue.2
, pp. 307-309
-
-
Juang, B.H.1
Levinson, S.E.2
Sondhi, M.M.3
-
4
-
-
0024900279
-
Stochastic segment model for phoneme-based continuous speech recognition
-
DOI 10.1109/29.45533
-
M. Ostendorf and S. Roukos, "A stochastic segment model for phoneme-based continuous speech recognition," IEEE Trans. Acoust., Speech Signal Process., vol. 37, no. 12, pp. 1857-1869, Dec. 1989. (Pubitemid 20642698)
-
(1989)
IEEE Transactions on Acoustics, Speech, and Signal Processing
, vol.37
, Issue.12
, pp. 1857-1869
-
-
Ostendorf, M.1
Roukos, S.2
-
5
-
-
0030245363
-
From HMM's to segment models: A unified view of stochastic modeling for speech recognition
-
PII S1063667696067181
-
M. Ostendorf, V. Digalakis, and O. A. Kimball, "From HMMs to segment models: A unified view of stochastic modeling for speech recognition,"IEEE Trans. Speech Audio Process., vol. 4, no. 5, pp. 360-378, Sep. 1995. (Pubitemid 126753024)
-
(1996)
IEEE Transactions on Speech and Audio Processing
, vol.4
, Issue.5
, pp. 360-378
-
-
Ostendorf, M.1
Digalakis, V.V.2
Kimball, O.A.3
-
6
-
-
1642377925
-
Factor analysed hiddenMarkov models for speech recognition
-
A.-V. Rosti and M. Gales, "Factor analysed hiddenMarkov models for speech recognition," Comput. Speech Lang., pp. 181-200, 2004.
-
(2004)
Comput. Speech Lang.
, pp. 181-200
-
-
Rosti, A.-V.1
Gales, M.2
-
7
-
-
0030371122
-
Parametric trajectory models for speech recognition
-
H. Gish and K. Ng, "Parametric trajectory models for speech recognition,"in Proc. ICSLP, 1996, vol. 1, pp. 466-469.
-
(1996)
Proc. ICSLP
, vol.1
, pp. 466-469
-
-
Gish, H.1
Ng, K.2
-
8
-
-
33646762785
-
A hidden trajectory model with bi-directional target-filtering: Cascaded vs. Integrated implementation for phonetic recognition
-
L. Deng, X. Li, D. Yu, and A. Acero, "A hidden trajectory model with bi-directional target-filtering: Cascaded vs. integrated implementation for phonetic recognition," in Proc. ICASSP, 2005, pp. 337-340.
-
Proc. ICASSP, 2005
, pp. 337-340
-
-
Deng, L.1
Li, X.2
Yu, D.3
Acero, A.4
-
9
-
-
0032666052
-
Buried Markov models for speech recognition
-
J. Bilmes, "Buried Markov models for speech recognition," in Proc. ICASSP, 1999, vol. 2, pp. 713-716.
-
(1999)
Proc. ICASSP
, vol.2
, pp. 713-716
-
-
Bilmes, J.1
-
10
-
-
85009231267
-
Trajectory modeling based on hmms with the explicit relationship between static and dynamic features
-
K. Tokuda, H. Zen, and T. Kitamura, "Trajectory modeling based on hmms with the explicit relationship between static and dynamic features,"in Proc. Eurospeech, 2003, pp. 865-868.
-
Proc. Eurospeech, 2003
, pp. 865-868
-
-
Tokuda, K.1
Zen, H.2
Kitamura, T.3
-
12
-
-
0030244826
-
A review of large-vocabulary continuous-speech recognition
-
S. Young, "A review of large-vocabulary continuous-speech recognition,"IEEE Signal Process. Mag., vol. 13, no. 5, p. 45, 1996.
-
(1996)
IEEE Signal Process. Mag.
, vol.13
, Issue.5
, pp. 45
-
-
Young, S.1
-
13
-
-
33646788786
-
FMPE: Discriminatively trained features for speech recognition
-
D. Povey, B. Kingsbury, L. Mangu, G. Saon, H. Soltau, and G. Zweig, "FMPE: Discriminatively trained features for speech recognition," in Proc. ICASSP, 2005, vol. 1, pp. 961-964.
-
(2005)
Proc. ICASSP
, vol.1
, pp. 961-964
-
-
Povey, D.1
Kingsbury, B.2
Mangu, L.3
Saon, G.4
Soltau, H.5
Zweig, G.6
-
14
-
-
33947615252
-
Discriminatively trained region dependent feature transforms for speech recognition
-
B. Zhang, S. Matsoukas, and R. Schwartz, "Discriminatively trained region dependent feature transforms for speech recognition," in Proc. ICASSP, 2006, vol. 1, pp. 313-316.
-
(2006)
Proc. ICASSP
, vol.1
, pp. 313-316
-
-
Zhang, B.1
Matsoukas, S.2
Schwartz, R.3
-
15
-
-
34249951707
-
Discriminative semi-parametric trajectory model for speech recognition
-
DOI 10.1016/j.csl.2007.03.004, PII S088523080700023X
-
K. Sim and M. Gales, "Discriminative semi-parametric trajectory model for speech recognition," Comput. Speech Lang., vol. 21, no. 4, pp. 669-687, 2007. (Pubitemid 46880192)
-
(2007)
Computer Speech and Language
, vol.21
, Issue.4
, pp. 669-687
-
-
Sim, K.C.1
Gales, M.J.F.2
-
16
-
-
84867584789
-
Implicit Trajectory Modelling Using Temporally Varying Weight Regression for Automatic Speech Recognition
-
S. Liu and K. Sim, "Implicit Trajectory Modelling Using Temporally Varying Weight Regression for Automatic Speech Recognition," in Proc. ICASSP, 2012, pp. 4761-4764.
-
Proc. ICASSP, 2012
, pp. 4761-4764
-
-
Liu, S.1
Sim, K.2
-
17
-
-
29144523061
-
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
-
DOI 10.1007/s10107-004-0559-y
-
A. Wächter and L. Biegler, "On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming,"Math. Program., vol. 106, no. 1, pp. 25-57, 2006. (Pubitemid 41813168)
-
(2006)
Mathematical Programming
, vol.106
, Issue.1
, pp. 25-57
-
-
Wachter, A.1
Biegler, L.T.2
-
18
-
-
85017287487
-
Linear discriminant analysis for improved large vocabulary continuous speech recognition
-
R. Haeb-Umbach and H. Ney, "Linear discriminant analysis for improved large vocabulary continuous speech recognition," in Proc. ICASSP, 1992, vol. 1, pp. 13-16.
-
(1992)
Proc. ICASSP
, vol.1
, pp. 13-16
-
-
Haeb-Umbach, R.1
Ney, H.2
-
19
-
-
79959812251
-
Semi-parametric trajectory modeling using temporally varying feature mapping for speech recognition
-
K. Sim and S. Liu, "Semi-parametric trajectory modeling using temporally varying feature mapping for speech recognition," in Proc. Interspeech, 2010, pp. 2982-2985.
-
Proc. Interspeech, 2010
, pp. 2982-2985
-
-
Sim, K.1
Liu, S.2
-
20
-
-
85009097225
-
On using MLP features in LVCSR
-
Q. Zhu, B. Chen, N. Morgan, and A. Stolcke, "On using MLP features in LVCSR," in Proc. ICSLP, 2004.
-
Proc. ICSLP, 2004
-
-
Zhu, Q.1
Chen, B.2
Morgan, N.3
Stolcke, A.4
-
21
-
-
0023211846
-
Explicit time correlation in hidden Markov models for speech recognition
-
C. Wellekens, "Explicit time correlation in hidden Markov models for speech recognition," in Proc. ICASSP, 1987, pp. 384-386.
-
Proc. ICASSP, 1987
, pp. 384-386
-
-
Wellekens, C.1
-
22
-
-
85009267646
-
Hidden Markov models using vector linear prediction and discriminative output distributions
-
P. Woodland, "Hidden Markov models using vector linear prediction and discriminative output distributions," in Proc. ICASSP, 1992, pp. 509-512.
-
Proc. ICASSP, 1992
, pp. 509-512
-
-
Woodland, P.1
-
23
-
-
0036296863
-
Minimum phone error and I-smoothing for improved discriminative training
-
D. Povey and P. Woodland, "Minimum phone error and I-smoothing for improved discriminative training," in Proc. ICASSP, 2002, vol. 1, pp. I-105.
-
(2002)
Proc. ICASSP
, vol.1
-
-
Povey, D.1
Woodland, P.2
-
24
-
-
4544265717
-
-
Ph.D. dissertation, Cambridge Univ., Cambridge, U.K.
-
D. Povey, "Discriminative training for large vocabulary speech recognition,"Ph.D. dissertation, Cambridge Univ., Cambridge, U.K., 2004.
-
(2004)
Discriminative Training for Large Vocabulary Speech Recognition
-
-
Povey, D.1
-
25
-
-
0003822743
-
-
for HTK version 3.4
-
S. Young, G. Evermann, M. Gales, T. Hain, D. Kershaw, X. Liu, G. Moore, J. Odell, D. Ollason, and D. Povey et al., The HTK book (for HTK version 3.4), 2006.
-
(2006)
The HTK Book
-
-
Young, S.1
Evermann, G.2
Gales, M.3
Hain, T.4
Kershaw, D.5
Liu, X.6
Moore, G.7
Odell, J.8
Ollason, D.9
Povey, D.10
-
27
-
-
84862293102
-
Speaker and noise factorization for robust speech recognition
-
Sep.
-
Y. Wang and M. J. Gales, "Speaker and noise factorization for robust speech recognition," IEEE Trans. Audio, Speech, Lang. Process., vol. 20, no. 7, pp. 2149-2158, Sep. 2012.
-
(2012)
IEEE Trans. Audio, Speech, Lang. Process.
, vol.20
, Issue.7
, pp. 2149-2158
-
-
Wang, Y.1
Gales, M.J.2
-
29
-
-
85135271674
-
Finding consensus among words: Lattice-based word error minimization
-
L. Mangu, E. Brill, and A. Stolcke, "Finding consensus among words: Lattice-based word error minimization," in Proc. Eurospeech, 1999, vol. 99, pp. 495-498.
-
(1999)
Proc. Eurospeech
, vol.99
, pp. 495-498
-
-
Mangu, L.1
Brill, E.2
Stolcke, A.3
|