Equivalency of Sentence Intelligibility Lists for Audiological Assessment of Naval Personnel and Navy Voice Communication Systems

Abstract

The purpose of the study was to investigate the equivalency of several sentence intelligibility lists for use in clinical hearing tests of Navy personnel and research facilities requiring figure-of-merit indices of voice communication systems. Ten Central Institute for the Deaf (CIF) Sentence Intelligibility Lists and revisions of those ten lists (R-CID) were presented to two groups of 30 listeners each. Scores were the number of correct key words identified for each sentence list. The following results were obtained: (1) Two five-list combinations of the CID Sentence Lists (A, D, E, G, J and B, D, E, G, J) yielded equivalent scores. (2) Seven R-CID Sentence Lists (A, C, E, F, G, I, J) yielded equivalent scores. (3) The mean scores for eight R-CID Sentence Lists (A, B, C, D, E, F, G, J) were significantly lower than scores obtained with the corresponding CID lists. (4) The results suggest that both sets of sentence lists contain a sufficient number of equivalent lists to render them useful in most Navy research and clinical settings. The R-CID lists have a slight advantage in that they contain more equivalent lists and appear to be more sensitive to frequency distortion.

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Document Details

Document Type
Technical Report
Publication Date
Sep 14, 1973
Accession Number
AD0775684

Entities

People

  • Harry S. Cooker
  • Joseph R. Duffy
  • Robert J. Duffy
  • Russell L. Sergeant
  • Thomas G. Giolas

Organizations

  • Naval Submarine Medical Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Classification
  • Communication Systems
  • Data Science
  • Figure Of Merit
  • Frequency
  • Human Factors Engineering
  • Information Science
  • Measurement
  • Naval Personnel
  • Navy
  • Recording Systems
  • Research Facilities
  • Standards
  • Submarines
  • Voice Communications

Readers

  • Computational Modeling and Simulation
  • Speech Processing/Speech Recognition.