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22
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The use of recurrent neural networks in continuous speech recognition
– Tony Robinson, Mike Hochberg, Steve Renals
- 1996
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46
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An efficient A* stack decoder algorithm for continuous speech recognition with a stochastic language model
– D Paul
- 1993
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165
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An Application of Recurrent Nets to Phone Probability Estimation
– Tony Robinson
- 1994
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37
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Context-Dependent Classes in a Hybrid Recurrent Network-HMM Speech Recognition System
– Dan Kershaw, Tony Robinson, Mike Hochberg
- 1995
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12
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Connectionist Model Combination for Large Vocabulary Speech Recognition
– M M Hochberg, G D Cook, S J Renals, A J Robinson
- 1994
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368
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Connectionist Speech Recognition: A Hybrid Approach
– H A Bourlard, N Morgan
- 1993
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233
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Neural Network Classifiers Estimate Bayesian a posteriori Probabilities
– Richard, R P Lippmann
- 1991
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23
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Continuous speech recognition by connectionist statistical methods
– H Boulard, N Morgan
- 1993
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22
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A tree-search strategy for large vocabulary continuous speech recognition
– P S Gopalakrishnan, L R Bahl, R L Mercer
- 1995
|
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30
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Efficient Search Using Posterior Phone Probability Estimates
– Steve Renals, Mike Hochberg
- 1995
|
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6
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The 1995 Abbot Lvcsr System For Multiple Unknown Microphones
– Dan Kershaw , Tony Robinson, Steve Renals
- 1996
|
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12
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Several Improvements to a Recurrent Error Propagation Network Phone Recognition System
– A J Robinson
- 1991
|
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10
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Unsupervised Speaker-Adaptation For Hybrid Hmm-Mlp Continuous Speech Recognition System
– Joao P. Neto, Ciro A. Martins, Luís B. Almeida
- 1995
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69
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Boosting and other ensemble methods
– H Drucker, C Cortes, L D Jackel, Y LeCun, V Vapnik
- 1301
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17
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Speaker-Adaptation For Hybrid Hmm-Ann Continuous Speech Recognition System
– Joao Neto, Luís Almeida, Mike Hochberg, Ciro Martins, Luís Nunes, Steve Renals, Tony Robinson
- 1995
|
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34
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Generalization and parameter estimation in feedforward nets: some experiments
– N Morgan, H Bourlard
- 1990
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2304
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Learning internal representation by error propagation
– D E Rumelhart, G E Hinton, R J Williams
- 1996
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440
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Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
– C. J. Leggetter, P. C. Woodland
- 1995
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194
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Probalistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
– J S Bridle
- 1990
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