-
1
-
-
0003464265
-
Dynamic recurrent neural networks
-
Tech. Rep. CMU-CS-90-196, School of Computer Science, Carnegie-Mellon University, Dec.
-
B. A. Pearlmutter, “Dynamic recurrent neural networks,” Tech. Rep. CMU-CS-90-196, School of Computer Science, Carnegie-Mellon University, Dec. 1990.
-
(1990)
-
-
Pearlmutter, B.A.1
-
2
-
-
0003997653
-
Gradient-based learning algorithms for recurrent connectionist networks
-
Tech. Rep. NU-CCS-90-9, Northeastern University, Apr.
-
R. J. Williams and D. Zipser, “Gradient-based learning algorithms for recurrent connectionist networks,” Tech. Rep. NU-CCS-90-9, Northeastern University, Apr. 1990.
-
(1990)
-
-
Williams, R.J.1
Zipser, D.2
-
3
-
-
84941541552
-
Practical network design and implementation
-
(Cambridge Programme for Industry, Cambridge University), Sept.
-
T. Robinson, “Practical network design and implementation,” in Proceedings of the Cambridge Neural Network Summer School, (Cambridge Programme for Industry, Cambridge University), Sept. 1992.
-
(1992)
Proceedings of the Cambridge Neural Network Summer School
-
-
Robinson, T.1
-
4
-
-
0000646059
-
Learning internal representations by error propagation
-
D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: Bradford Books/MIT Press, ch. 8
-
D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning internal representations by error propagation,” in Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol. I: Foundations, D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: Bradford Books/MIT Press, ch. 8, 1986.
-
(1986)
Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol. I Foundations
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
5
-
-
0004145667
-
-
New York: Harcourt Brace Jovanovich, second ed.
-
P. Ladefoged, A Course in Phonetics. New York: Harcourt Brace Jovanovich, second ed., 1982.
-
(1982)
A Course in Phonetics
-
-
Ladefoged, P.1
-
6
-
-
0024610919
-
A tutorial on hidden Markov models and selected applications in speech recognition
-
L. R. Rabiner, “A tutorial on hidden Markov models and selected applications in speech recognition,” Proc. IEEE, vol. 77, pp. 257–286, 1989.
-
(1989)
Proc. IEEE
, vol.77
, pp. 257-286
-
-
Rabiner, L.R.1
-
7
-
-
0020719320
-
A maximum likelihood approach to continuous speech recognition
-
Mar.
-
L. R. Bahl, F. Jelinek, and R. L. Mercer, “A maximum likelihood approach to continuous speech recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 5, pp. 179–190, Mar. 1983.
-
(1983)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.5
, pp. 179-190
-
-
Bahl, L.R.1
Jelinek, F.2
Mercer, R.L.3
-
8
-
-
0019114666
-
Interpolated estimation of Markov source parameters from sparse data
-
F. Jelinek and R. Mercer, “Interpolated estimation of Markov source parameters from sparse data,” Pattern Recognition in Practice, pp. 381–397, 1980.
-
(1980)
Pattern Recognition in Practice
, pp. 381-397
-
-
Jelinek, F.1
Mercer, R.2
-
11
-
-
0022667694
-
Speaker independent isolated word recognition using dynamic features of speech spectrum
-
S. Furui, “Speaker independent isolated word recognition using dynamic features of speech spectrum,” in IEEE Transactions on Acoustics, Speech, and Signal Processing, pp. 52–59, 1986.
-
(1986)
IEEE Transactions on Acoustics, Speech, and Signal Processing
, pp. 52-59
-
-
Furui, S.1
-
12
-
-
85017287487
-
Linear discriminant analysis for improved large vocabulary speech recognition
-
R. Haeb-Umbach and H. Ney, “Linear discriminant analysis for improved large vocabulary speech recognition,” in Proc. ICASSP, vol. I, pp. 13–16, 1992.
-
(1992)
Proc. ICASSP
, vol.1
, pp. 13-16
-
-
Haeb-Umbach, R.1
Ney, H.2
-
13
-
-
0023572601
-
Supervised learning of probability distributions by neural networks
-
D. Z. Anderson, Ed. American Institute of Physics
-
E. B. Baum and F. Wilczek, “Supervised learning of probability distributions by neural networks,” in Neural Information Processing Systems D. Z. Anderson, Ed. American Institute of Physics, 1988.
-
(1988)
Neural Information Processing Systems
-
-
Baum, E.B.1
Wilczek, F.2
-
14
-
-
0000583248
-
Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
-
F. Fougelman-Soulie and J. Hérault, Ed. Springer-Verlag
-
J. S. Bridle, “Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition,” in Neuro-computing: Algorithms, Architectures and Applicatations F. Fougelman-Soulie and J. Hérault, Ed. Springer-Verlag, 1989, pp. 227–236.
-
(1989)
Neuro-computing: Algorithms, Architectures and Applicatations
, pp. 227-236
-
-
Bridle, J.S.1
-
16
-
-
0025671510
-
A probabilistic approach to the understanding and training of neural network classifiers
-
H. Gish, “A probabilistic approach to the understanding and training of neural network classifiers,” in Proc. ICASSP, pp. 1361–1364, 1990.
-
(1990)
Proc. ICASSP
, pp. 1361-1364
-
-
Gish, H.1
-
17
-
-
0001595997
-
Neural network classifiers estimate Bayesian a posteriori probabilities
-
M. D. Richard and R. P. Lippmann, “Neural network classifiers estimate Bayesian a posteriori probabilities,” Neural Computation, vol. 3, pp. 461–483, 1991.
-
(1991)
Neural Computation
, vol.3
, pp. 461-483
-
-
Richard, M.D.1
Lippmann, R.P.2
-
19
-
-
0028194709
-
Connectionist probability estimators in HMM speech recognition
-
Jan.
-
S. Renals, N. Morgan, H. Bourlard, M. Cohen, and H. Franco, “Connectionist probability estimators in HMM speech recognition,” IEEE Transactions on Speech and Audio Processing, vol. 2, Jan. 1994.
-
(1994)
IEEE Transactions on Speech and Audio Processing
, vol.2
-
-
Renals, S.1
Morgan, N.2
Bourlard, H.3
Cohen, M.4
Franco, H.5
-
20
-
-
0025659256
-
Continuous speech recognition using multilayer perceptrons with hidden Markov models
-
N. Morgan and H. Bourlard, “Continuous speech recognition using multilayer perceptrons with hidden Markov models,” in Proc. ICASSP, pp. 413–416, 1990.
-
(1990)
Proc. ICASSP
, pp. 413-416
-
-
Morgan, N.1
Bourlard, H.2
-
21
-
-
85009890950
-
Connectionist probability estimation in the Decipher speech recognition system
-
S. Renals, N. Morgan, M. Cohen, and H. Franco, “Connectionist probability estimation in the Decipher speech recognition system,” in Proc. ICASSP, vol. I, pp. 601–604, 1992.
-
(1992)
Proc. ICASSP
, vol.1
, pp. 601-604
-
-
Renals, S.1
Morgan, N.2
Cohen, M.3
Franco, H.4
-
22
-
-
0025385598
-
ALPHA-NETS: A recurrent ‘neural’ network architecture with a hidden Markov model interpretation
-
Feb.
-
J. S. Bridle, “ALPHA-NETS: A recurrent ‘neural’ network architecture with a hidden Markov model interpretation,” Speech Communication, vol. 9, pp. 83–92, Feb. 1990.
-
(1990)
Speech Communication
, vol.9
, pp. 83-92
-
-
Bridle, J.S.1
-
23
-
-
0026404745
-
An Alphanet approach to optimising input transformations for continuous speech recognition
-
J. S. Bridle and L. Dodd, “An Alphanet approach to optimising input transformations for continuous speech recognition,” in Proc. ICASSP. pp. 277–280, 1991.
-
(1991)
Proc. ICASSP
, pp. 277-280
-
-
Bridle, J.S.1
Dodd, L.2
-
24
-
-
0025592386
-
Combining hidden Markov models and neural network classifiers
-
L. T. Niles and H. F. Silverman, “Combining hidden Markov models and neural network classifiers,” in Proc. ICASSP, pp. 417–420, 1990.
-
(1990)
Proc. ICASSP
, pp. 417-420
-
-
Niles, L.T.1
Silverman, H.F.2
-
25
-
-
0025592310
-
Competitive training in hidden Markov models
-
Expanded in the technical report CUED/F-INFENG/TR.41, Cambridge University Engineering Department
-
S. J. Young, “Competitive training in hidden Markov models,” in Proc. ICASSP, pp. 681–684, 1990. Expanded in the technical report CUED/F-INFENG/TR.41, Cambridge University Engineering Department.
-
(1990)
Proc. ICASSP
, pp. 681-684
-
-
Young, S.J.1
-
26
-
-
0024634603
-
Phoneme recognition using time-delay neural networks
-
A. Waibel, T. Hanazawa, G. Hinton, K. Shikano, and K. J. Lang, “Phoneme recognition using time-delay neural networks,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 37, pp. 328–339, 1989.
-
(1989)
IEEE Transactions on Acoustics, Speech, and Signal Processing
, vol.37
, pp. 328-339
-
-
Waibel, A.1
Hanazawa, T.2
Hinton, G.3
Shikano, K.4
Lang, K.J.5
-
27
-
-
0005803728
-
Static and dynamic error propagation networks with application to speech coding
-
D. Z. Anderson, Ed. American Institute of Physics
-
A. J. Robinson and F. Fallside, “Static and dynamic error propagation networks with application to speech coding,” in Neural Information Processing Systems D. Z. Anderson, Ed. American Institute of Physics, 1988.
-
(1988)
Neural Information Processing Systems
-
-
Robinson, A.J.1
Fallside, F.2
-
28
-
-
0025503558
-
Backpropagation through time: What it does and how to do it
-
Oct.
-
P. J. Werbos, “Backpropagation through time: What it does and how to do it,” Proc. IEEE, vol. 78, pp. 1550–1560, Oct. 1990.
-
(1990)
Proc. IEEE
, vol.78
, pp. 1550-1560
-
-
Werbos, P.J.1
-
29
-
-
84941528157
-
A first look at phonetic discrimination using a connectionist architecture with recurrent links
-
SCIMP Working Paper No. 4/87, Communications Research Division, Institute for Defense Analyses, Princeton, NJ
-
G. Kuhn, “A first look at phonetic discrimination using a connectionist architecture with recurrent links,” SCIMP Working Paper No. 4/87, Communications Research Division, Institute for Defense Analyses, Princeton, NJ, 1987.
-
(1987)
-
-
Kuhn, G.1
-
30
-
-
0004162267
-
A learning algorithm for continually running fully recurrent neural networks
-
ICS Report 8805, Institute for Cognitive Science, University of California, San Diego, Oct.
-
R. J. Williams and D. Zipser, “A learning algorithm for continually running fully recurrent neural networks,” ICS Report 8805, Institute for Cognitive Science, University of California, San Diego, Oct. 1988.
-
(1988)
-
-
Williams, R.J.1
Zipser, D.2
-
31
-
-
0004262806
-
Finding structure in time
-
Tech. Rep. CRL-8801, Center for Research in Language, UCSD, Apr.
-
J. L. Elman, “Finding structure in time,” Tech. Rep. CRL-8801, Center for Research in Language, UCSD, Apr. 1988.
-
(1988)
-
-
Elman, J.L.1
-
32
-
-
0001033889
-
Learning complex, extended sequences using the principle of history compression
-
J. H. Schmidhuber, “Learning complex, extended sequences using the principle of history compression,” Neural Computation, vol. 4, pp. 234–242, 1992.
-
(1992)
Neural Computation
, vol.4
, pp. 234-242
-
-
Schmidhuber, J.H.1
-
33
-
-
84941534062
-
The state space and ‘ideal input’ representations of recurrent networks
-
M. Cooke, S. Beet, and M. Crawford, Eds. New York: John Wiley and Sons
-
T. Robinson, “The state space and ‘ideal input’ representations of recurrent networks,” in Visual Representations of Speech Signals, M. Cooke, S. Beet, and M. Crawford, Eds. New York: John Wiley and Sons, pp. 327–334, 1993.
-
(1993)
Visual Representations of Speech Signals
, pp. 327-334
-
-
Robinson, T.1
-
35
-
-
0002583871
-
Speech database development: Design and analysis of the acoustic-phonetic corpus
-
Mar.
-
L. F. Lamel, R. H. Kasel, and S. Seneff, “Speech database development: Design and analysis of the acoustic-phonetic corpus,” in Proceedings of the DARPA Speech Recognition Workshop, pp. 26–32, Mar. 1987.
-
(1987)
Proceedings of the DARPA Speech Recognition Workshop
, pp. 26-32
-
-
Lamel, L.F.1
Kasel, R.H.2
Seneff, S.3
-
36
-
-
0024137490
-
Increased rates of convergence through learning rate adaptation
-
R. A. Jacobs, “Increased rates of convergence through learning rate adaptation,” Neural Networks, vol. 1, pp. 295–307, 1988.
-
(1988)
Neural Networks
, vol.1
, pp. 295-307
-
-
Jacobs, R.A.1
-
37
-
-
0003652104
-
Optimization of the backpropagation algorithm for training multilayer perceptrons
-
W. Schiffmann, M. Joost, and R. Werner, “Optimization of the backpropagation algorithm for training multilayer perceptrons,” Tech. Rep., University of Koblenz, 1992.
-
(1992)
Tech. Rep., University of Koblenz
-
-
Schiffmann, W.1
Joost, M.2
Werner, R.3
-
38
-
-
84909895116
-
A comparison of preprocessors for the Cambridge recurrent error propagation network speech recognition system
-
Kobe, Japan, Nov.
-
T. Robinson, J. Holdsworth, R. Patterson, and F. Fallside, “A comparison of preprocessors for the Cambridge recurrent error propagation network speech recognition system,” in Proceedings of the International Conference on Spoken Language Processing, Kobe, Japan, Nov. 1990.
-
(1990)
Proceedings of the International Conference on Spoken Language Processing
-
-
Robinson, T.1
Holdsworth, J.2
Patterson, R.3
Fallside, F.4
-
39
-
-
0040813706
-
Several improvements to a recurrent error propagation network phone recognition system
-
Tech. Rep. CUED/F-INFENG/TR.82, Cambridge University Engineering Department, Sept.
-
T. Robinson, “Several improvements to a recurrent error propagation network phone recognition system,” Tech. Rep. CUED/F-INFENG/TR.82, Cambridge University Engineering Department, Sept. 1991.
-
(1991)
-
-
Robinson, T.1
-
40
-
-
0004141541
-
Connectionist learning procedures
-
Tech. Rep. CMU-CS-87-115, Computer Science Department, Carnegie-Mellon University, June
-
G. E. Hinton, “Connectionist learning procedures,” Tech. Rep. CMU-CS-87-115, Computer Science Department, Carnegie-Mellon University, June 1987.
-
(1987)
-
-
Hinton, G.E.1
-
41
-
-
0006479994
-
Connectionist probability estimation in HMM speech recognition
-
Tech. Rep. TR-92-081, International Computer Science Institute
-
S. Renals and N. Morgan, “Connectionist probability estimation in HMM speech recognition,” Tech. Rep. TR-92-081, International Computer Science Institute, 1992.
-
(1992)
-
-
Renals, S.1
Morgan, N.2
-
42
-
-
0000329355
-
A recurrent error propagation network speech recognition system
-
July
-
T. Robinson and F. Fallside, “A recurrent error propagation network speech recognition system,” Computer Speech and Language, vol. 5, pp. 259–274. July 1991.
-
(1991)
Computer Speech and Language
, vol.5
, pp. 259-274
-
-
Robinson, T.1
Fallside, F.2
-
43
-
-
0024768209
-
Speaker-independent phone recognition using hidden Markov models
-
K.-F. Lee and H.-W. Hon, “Speaker-independent phone recognition using hidden Markov models,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 37, pp. 1641–1648, 1989.
-
(1989)
IEEE Transactions on Acoustics, Speech, and Signal Processing
, vol.37
, pp. 1641-1648
-
-
Lee, K.-F.1
Hon, H.-W.2
-
45
-
-
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 Proc. ICASSP, 1993.
-
(1993)
Proc. ICASSP
-
-
Kapadia, S.1
Valtchev, V.2
Young, S.J.3
-
46
-
-
0026991192
-
Fast algorithms for phone classification and recognition using segment-based models
-
Dec.
-
V. V. Digalakis, M. Ostendorf, and J. R. Rohlicek, “Fast algorithms for phone classification and recognition using segment-based models,” IEEE Transactions on Signal Processing, vol. 40, pp. 2885–2896, Dec. 1992.
-
(1992)
IEEE Transactions on Signal Processing
, vol.40
, pp. 2885-2896
-
-
Digalakis, V.V.1
Ostendorf, M.2
Rohlicek, J.R.3
-
47
-
-
84941528178
-
New developments in phone recognition using an ergodic hidden Markov model
-
technical memorandum TM-11222-910829-12, AT&T Bell Laboratories
-
A. Ljolje, “New developments in phone recognition using an ergodic hidden Markov model,” technical memorandum TM-11222-910829-12, AT&T Bell Laboratories, 1991.
-
(1991)
-
-
Ljolje, A.1
-
48
-
-
0023776398
-
The DARPA 1000-word Resource Management database for continuous speech recognition
-
P. Price, W. M. Fisher, J. Bernstein, and D. S. Pallett, “The DARPA 1000-word Resource Management database for continuous speech recognition,” in Proc. ICASSP. 1988, pp. 651–654.
-
(1988)
Proc. ICASSP
, pp. 651-654
-
-
Price, P.1
Fisher, W.M.2
Bernstein, J.3
Pallett, D.S.4
-
49
-
-
0003721728
-
Phonological structures for speech recognition
-
Ph.D. thesis, Computer Science Division, University of California at Berkeley, Apr.
-
M. H. Cohen, “Phonological structures for speech recognition,” Ph.D. thesis, Computer Science Division, University of California at Berkeley, Apr. 1989.
-
(1989)
-
-
Cohen, M.H.1
-
54
-
-
85009078709
-
CDNN: A context dependent neural network for continuous speech recognition
-
H. Bourlard, N. Morgan, C. Wooters, and S. Renals, “CDNN: A context dependent neural network for continuous speech recognition,” in Proc. ICASSP, vol. II, pp. 349–352, 1992.
-
(1992)
Proc. ICASSP
, vol.2
, pp. 349-352
-
-
Bourlard, H.1
Morgan, N.2
Wooters, C.3
Renals, S.4
-
55
-
-
0000756554
-
Context-dependent multiple distribution phonetic modelling with MLPs
-
C. L. Giles, S. J. Hanson, and J. D. Cowen, Eds. San Mateo, CA: Morgan Kaufmann
-
M. Cohen, H. Franco, N. Morgan, D. Rumelhart, and V. Abrash, “Context-dependent multiple distribution phonetic modelling with MLPs,” in Advances in Neural Information Processing Systems 5, C. L. Giles, S. J. Hanson, and J. D. Cowen, Eds. San Mateo, CA: Morgan Kaufmann, 1993.
-
(1993)
Advances in Neural Information Processing Systems 5
-
-
Cohen, M.1
Franco, H.2
Morgan, N.3
Rumelhart, D.4
Abrash, V.5
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