The Use of Artificial Neural Networks to Estimate Speech Intelligibility from Acoustic Variables: A Preliminary Analysis.

Metz, Dale Evan; And Others

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Peer reviewed

ERIC Number: EJ452936

Record Type: Journal

Publication Date: 1992

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0021-9924

EISSN: N/A

The Use of Artificial Neural Networks to Estimate Speech Intelligibility from Acoustic Variables: A Preliminary Analysis.

Metz, Dale Evan; And Others

Journal of Communication Disorders, v25 n1 p43-53 Mar 1992

A preliminary scheme for estimating the speech intelligibility of hearing-impaired speakers from acoustic parameters, using a computerized artificial neural network to process mathematically the acoustic input variables, is outlined. Tests with 60 hearing-impaired speakers found the scheme to be highly accurate in identifying speakers separated by more than 1 quintile. (Author/JDD)

Descriptors: Acoustics, Computer Assisted Testing, Computer Oriented Programs, Estimation (Mathematics), Hearing Impairments, Prediction, Speech Communication, Speech Handicaps

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: Researchers

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

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