-
1
-
-
0025627406
-
The N-Best Algorithm: An Efficient Procedure for Finding Top N Sentence Hypotheses
-
Y. L. Chow and R. Schwartz, "The N-Best Algorithm: An Efficient Procedure for Finding Top N Sentence Hypotheses", in the DARPA Speech and Natural Language Workshop, 81-84, 1990.
-
(1990)
DARPA Speech and Natural Language Workshop
, pp. 81-84
-
-
Chow, Y.L.1
Schwartz, R.2
-
2
-
-
33745185781
-
Hidden Conditional Random Fields for Phone Classification
-
A. Gunawardana and M. Mahajan and A. Acero and J. C. Platt., "Hidden Conditional Random Fields for Phone Classification", in Interspeech, 1117-1120, 2005.
-
(2005)
Interspeech
, pp. 1117-1120
-
-
Gunawardana, A.1
Mahajan, M.2
Acero, A.3
Platt, J.C.4
-
3
-
-
84867206815
-
On the Equivalence of Guassian and Log-Linear HMMs
-
G. Heigold, P. Lehnen, R. Schluter, H. Ney, "On the Equivalence of Guassian and Log-Linear HMMs", in Interspeech, 273-276, 2008.
-
(2008)
Interspeech
, pp. 273-276
-
-
Heigold, G.1
Lehnen, P.2
Schluter, R.3
Ney, H.4
-
4
-
-
0027228742
-
MMI training for continuous phoneme recognition on the TIMIT database
-
S. Kapadia, V. Valtchev, and S. J. Young, "MMI training for continuous phoneme recognition on the TIMIT database", in ICASSP, 491-494, 1993.
-
(1993)
ICASSP
, vol.491-494
-
-
Kapadia, S.1
Valtchev, V.2
Young, S.J.3
-
5
-
-
0142192295
-
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
-
J. Lafferty, A. McCallum, and F. Pereia, "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data", in ICML, 282-289, 2001.
-
(2001)
ICML
, vol.282-289
-
-
Lafferty, J.1
McCallum, A.2
Pereia, F.3
-
6
-
-
0002583871
-
Speech database development: Design an analysis of the acoustic-phonetic corpus
-
L. Lamel, R. Kassel, and S. Seneff, "Speech database development: Design an analysis of the acoustic-phonetic corpus", in the DARPA Speech Recognition Workshop, 1986.
-
(1986)
DARPA Speech Recognition Workshop
-
-
Lamel, L.1
Kassel, R.2
Seneff, S.3
-
7
-
-
0024768209
-
Speaker independent Phone Recognition Using Hidden Markov Models
-
K. F. Lee and H. W. Hon, "Speaker independent Phone Recognition Using Hidden Markov Models", in ICASSP, 1641-1648, 1989.
-
(1989)
ICASSP
, vol.1641-1648
-
-
Lee, K.F.1
Hon, H.W.2
-
8
-
-
64849090489
-
Conditional Random Fields for Integrating Local Discriminative Classifiers
-
J. Morris and E. Fosler-Lussier, "Conditional Random Fields for Integrating Local Discriminative Classifiers", in IEEE Transactions on Audio, Speech, and Language Processing 617-628, 2008.
-
(2008)
IEEE Transactions on Audio, Speech, and Language Processing
, pp. 617-628
-
-
Morris, J.1
Fosler-Lussier, E.2
-
9
-
-
59549087165
-
On Discriminative vs. Generative Classifiers: A comparison of logistic regression and Naive Bayes
-
A. Y. Ng and M. Jordan, "On Discriminative vs. Generative Classifiers: A comparison of logistic regression and Naive Bayes" in NIPS 14, 2002.
-
(2002)
NIPS
, vol.14
-
-
Ng, A.Y.1
Jordan, M.2
-
10
-
-
56549088313
-
Real-Time Continuous Phoneme Recognition System Using Class-Dependent Tied-Mixture HMM With HBT Structure for Speech-Driven Lip-Sync
-
J. Park and H. Ko "Real-Time Continuous Phoneme Recognition System Using Class-Dependent Tied-Mixture HMM With HBT Structure for Speech-Driven Lip-Sync" in IEEE Transactions on Multimedia 10, 7 1299-1306, 2008.
-
(2008)
IEEE Transactions on Multimedia
, vol.10
, Issue.7
, pp. 1299-1306
-
-
Park, J.1
Ko, H.2
-
11
-
-
0036296863
-
Minimum phone error and I-smoothing for improved discriminative training
-
D. Povey and P.C. Woodland, "Minimum phone error and I-smoothing for improved discriminative training" in ICASSP, 105-108, 2002
-
(2002)
ICASSP
, vol.105-108
-
-
Povey, D.1
Woodland, P.C.2
-
12
-
-
34047192804
-
Semi-Markov conditional random fields for information extraction
-
S. Sarawagi and W. W. Cohen, "Semi-Markov conditional random fields for information extraction", in NIPS 17, 1185-1192, 2004.
-
(2004)
NIPS
, vol.17
, pp. 1185-1192
-
-
Sarawagi, S.1
Cohen, W.W.2
-
13
-
-
77949475517
-
-
R. Schwartz and S. Austin, A comparison of several approximate algorithms for finding multiple (N-Best) sentence hypothesis, in ICASSP, 1993
-
R. Schwartz and S. Austin, "A comparison of several approximate algorithms for finding multiple (N-Best) sentence hypothesis", in ICASSP, 1993
-
-
-
-
14
-
-
34547522370
-
-
F. Sha and L. K. Saul, Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models, in ICASSP, 2007.
-
F. Sha and L. K. Saul, "Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models", in ICASSP, 2007.
-
-
-
-
15
-
-
44849143432
-
Regularization, adaptation, and non-independent features improve hidden conditional random fields for phone classification
-
Y. H. Sung, C. Boulis, C. Manning, and D. Jurafsky, "Regularization, adaptation, and non-independent features improve hidden conditional random fields for phone classification", in IEEE ASRU, 347-352, 2007.
-
(2007)
IEEE ASRU
, pp. 347-352
-
-
Sung, Y.H.1
Boulis, C.2
Manning, C.3
Jurafsky, D.4
-
16
-
-
51449092074
-
-
Y. H. Sung, C. Boulis, and D. Jurafsky, Maximum Conditional Likelihood Linear Regression and Maximum a Posteriori for Hidden Conditional Random Fields Speaker Adaptation, in ICASSP, 2008.
-
Y. H. Sung, C. Boulis, and D. Jurafsky, "Maximum Conditional Likelihood Linear Regression and Maximum a Posteriori for Hidden Conditional Random Fields Speaker Adaptation", in ICASSP, 2008.
-
-
-
|