Neural network control for a cascade/parallel formant synthesizer

Michael S. Scordilis, John N. Gowdy

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


Neural network control of a cascade/parallel formant text-to-speech synthesizer model is investigated. The task under investigation is the synthesis of isolated words spoken in isolation and with neutral intonation. The goals are to have the network successfully learn to produce the temporal parameters that drive the synthesizer and to evaluate its performance on novice utterances. The synthesis strategy and the network architecture and training are discussed, and results for the generation of the fundamental frequency contour using feedforward and sequential networks are shown.

Original languageEnglish (US)
Pages (from-to)297-300
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - Dec 1 1990
Event1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5) - Albuquerque, New Mexico, USA
Duration: Apr 3 1990Apr 6 1990

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'Neural network control for a cascade/parallel formant synthesizer'. Together they form a unique fingerprint.

Cite this