Text processing for speech synthesis using parallel distributed models

Michael S Scordilis, John N. Gowdy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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)
Title of host publicationConference Proceedings - IEEE SOUTHEASTCON
PublisherPubl by IEEE
Pages765-769
Number of pages5
Volume2
StatePublished - 1989
Externally publishedYes
EventEnergy and Information Technologies in the Southeast - Columbia, SC, USA
Duration: Apr 9 1989Apr 12 1989

Other

OtherEnergy and Information Technologies in the Southeast
CityColumbia, SC, USA
Period4/9/894/12/89

Fingerprint

Text processing
Speech synthesis
Neural networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Scordilis, M. S., & Gowdy, J. N. (1989). Text processing for speech synthesis using parallel distributed models. In Conference Proceedings - IEEE SOUTHEASTCON (Vol. 2, pp. 765-769). Publ by IEEE.

Text processing for speech synthesis using parallel distributed models. / Scordilis, Michael S; Gowdy, John N.

Conference Proceedings - IEEE SOUTHEASTCON. Vol. 2 Publ by IEEE, 1989. p. 765-769.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Scordilis, MS & Gowdy, JN 1989, Text processing for speech synthesis using parallel distributed models. in Conference Proceedings - IEEE SOUTHEASTCON. vol. 2, Publ by IEEE, pp. 765-769, Energy and Information Technologies in the Southeast, Columbia, SC, USA, 4/9/89.
Scordilis MS, Gowdy JN. Text processing for speech synthesis using parallel distributed models. In Conference Proceedings - IEEE SOUTHEASTCON. Vol. 2. Publ by IEEE. 1989. p. 765-769
Scordilis, Michael S ; Gowdy, John N. / Text processing for speech synthesis using parallel distributed models. Conference Proceedings - IEEE SOUTHEASTCON. Vol. 2 Publ by IEEE, 1989. pp. 765-769
@inproceedings{150a6d2a1ad54847a6889082eddb617b,
title = "Text processing for speech synthesis using parallel distributed models",
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.",
author = "Scordilis, {Michael S} and Gowdy, {John N.}",
year = "1989",
language = "English (US)",
volume = "2",
pages = "765--769",
booktitle = "Conference Proceedings - IEEE SOUTHEASTCON",
publisher = "Publ by IEEE",

}

TY - GEN

T1 - Text processing for speech synthesis using parallel distributed models

AU - Scordilis, Michael S

AU - Gowdy, John N.

PY - 1989

Y1 - 1989

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0024862504&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024862504&partnerID=8YFLogxK

M3 - Conference contribution

VL - 2

SP - 765

EP - 769

BT - Conference Proceedings - IEEE SOUTHEASTCON

PB - Publ by IEEE

ER -