Alpha-nets: a recurrent “neural” network architecture with a hidden Markov model interpretation
Speech Communication - Neurospeech
Introduction to the theory of neural computation
Introduction to the theory of neural computation
Neural Networks for Optimization and Signal Processing
Neural Networks for Optimization and Signal Processing
Hidden Neural Networks: A Framework for HMM/NN Hybrids
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
An Alphanet approach to optimising input transformations for continuous speech recognition
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Neural Computation
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The paper present an application of one method for obtaining derivatives used in training a recurrent neural network that combine the technique of backpropagation through time and dual heuristic programming. The recurrent network was used in contextual causal phoneme recognition for complete (phoneme segmented) training set labeling.