Text processing for speech synthesis using parallel distributed models
Michael S. Scordilis, J.N. Gowdy · 2003
A parallel distributed model is developed for the text-to-speech synthesis problem. This model includes a procedure which marks those incoming letters which are soundless, but which modify the pronunciation of their neighbors. Neural-network simulation results are presented, and it is shown that the larger the network the faster the learning rate, but also the greater the computational requirements.>