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

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.

journal_name

J Commun Disord

authors

Metz DE,Schiavetti N,Knight SD

doi

10.1016/0021-9924(92)90013-m

keywords:

subject

Has Abstract

pub_date

1992-03-01 00:00:00

pages

43-53

issue

1

eissn

0021-9924

issn

1873-7994

pii

0021-9924(92)90013-M

journal_volume

25

pub_type

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