multilayer perceptron
Feedforward network with one or more hidden layers, the architecture that backpropagation trains and that NETtalk used to learn text-to-speech conversion.
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NETtalk Neural Network Developed by Terrence J. Sejnowski and Charles Rosenberg
Terrence J. Sejnowski of the Salk Institute and Charles Rosenberg of Princeton University developed NETtalk, a feedforward neural network trained to convert English text to speech, publishing the principal account in Complex Systems in 1987. The network learned pronunciation from examples alone, demonstrating that a multi-layer perceptron could acquire a complex linguistic skill without hand-coded rules.