2007 Special Issue: Automatic speech recognition using a predictive echo state network classifier

Authors:
Mark D. Skowronski;John G. Harris
Affiliations:
Computational NeuroEngineering Lab, NEB 465, University of Florida, Gainesville, FL 32611, USA;Computational NeuroEngineering Lab, NEB 465, University of Florida, Gainesville, FL 32611, USA
Venue:
Neural Networks
Year:
2007

Citing 12
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Abstract

We have combined an echo state network (ESN) with a competitive state machine framework to create a classification engine called the predictive ESN classifier. We derive the expressions for training the predictive ESN classifier and show that the model was significantly more noise robust compared to a hidden Markov model in noisy speech classification experiments by 8+/-1 dB signal-to-noise ratio. The simple training algorithm and noise robustness of the predictive ESN classifier make it an attractive classification engine for automatic speech recognition.