The use of artificial neural networks to estimate speech intelligibility from acoustic variables: A preliminary analysis

  • Metz D
  • Schiavetti N
  • Knight S
  • 3

    Readers

    Mendeley users who have this article in their library.
  • 3

    Citations

    Citations of this article.

Abstract

Previous research has used regression analysis to attempt to predict the intelligibility of hearing-impaired speakers from acoustic speech parameters. Improvement of prediction may be achieved by the use of computerized artificial neural networks to process mathematically the acoustic input variables as part of the intelligibility process. A preliminary scheme for estimating speech intelligibility from acoustic parameters using a neural network is outlined and preliminary data illustrate its use. © 1992.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Dale Evan Metz

  • Nicholas Schiavetti

  • Stephen D. Knight

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free