Text processing for speech synthesis using parallel distributed models

Michael S. Scordilis, John N. Gowdy

Research output: Contribution to journalConference article

Abstract

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.

Original languageEnglish (US)
Pages (from-to)765-769
Number of pages5
JournalConference Proceedings - IEEE SOUTHEASTCON
Volume2
StatePublished - Dec 1 1989
EventEnergy and Information Technologies in the Southeast - Columbia, SC, USA
Duration: Apr 9 1989Apr 12 1989

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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