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Articulation-Testing Methods: Consonantal Differentiation with a Closed-Response Set

House, Arthur S., Williams, Carl E., Hecker, Michael H. L., Kryter, K. D.·1965·The Journal of the Acoustical Society of America

Abstract

The development and evaluation of a new speech-intelligibility test suitable for routine use by operational personnel in determining the performance level of speech-communication systems is described. The format used is similar to that described for a rhyme test but makes use of a closed-response set. An experiment was performed to determine the general reliability of the test materials when administered to U.S. Air Force enlisted personnel under a wide range of signal-to-noise ratios. Testing of 18 listeners over a period of 30 days showed that repeated exposure to the materials did not change the levels of average response in any appreciable way. Analysis of the responses to individual phonetic elements shows that the test can be useful for diagnostic study as well as for over-all evaluation of communication systems. Talker differences that appeared during the experiment and the statistical reliability and sensitivity of the materials are analyzed and discussed.

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Metadata

Authors
House, A. S., Williams, C. E., Hecker, M. H. L., & Kryter, K. D.
Venue
The Journal of the Acoustical Society of America
Published
1965-01-01
Volume
37
Issue
1
Pages
158-166
ISSN
  • 0001-4966 (ISSN-L)
  • 1520-8524
OpenAlex
W2070915875
Cited by
403
References
0
FWCI
6.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Articulation-Testing Methods: Consonantal Differentiation with a Closed-Response Set. https://app.cochat.ai/papers/10.1121/1.1909295
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House, A. S., Williams, C. E., Hecker, M. H. L., & Kryter, K. D. (1965). Articulation-Testing Methods: Consonantal Differentiation with a Closed-Response Set. The Journal of the Acoustical Society of America. https://doi.org/10.1121/1.1909295

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.