The DOI matches its Crossref record.
Improving the Reliability of Testing the Speech Reception Threshold for Sentences
Abstract
An accurate test for measuring the speech reception threshold (SRT) for sentences in quiet or in noise has been developed. It is shown that with ten carefully selected lists of only 13 sentences each, a high test-retest reliability can be obtained. The standard deviation of SRT measured with the different lists is approximately 1 dB.Nous avons mis au point une épreuve fidèle pour la mesure du seuil de réception de la parole (SRT) concernant des phrases émises dans une ambiance silencieuse et/ou dans une ambiance bruyante. Nous montrons qu'avec 10 listes soigneusement choisies et compre-nant chacune seulement 13 phrases, on peut avoir une confiance suffisante après épreuve et contre-épreuve. L'écart-type du SRT mesuré avec les différentes listes est approximativement égal à 1 dB.
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Cited by
Top-down and bottom-up processes in speech comprehension
Zekveld, A. A., Heslenfeld, D. J., Festen, J. M., & Schoonhoven, R. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.04.199 · Cited by 203
Perception of Speech and Sound
Kollmeier, B., Brand, T., & Meyer, B. (2008) · Springer Handbooks · doi:10.1007/978-3-540-49127-9_4 · Cited by 56
Metadata
- Authors
- Plomp, R., & Mimpen, A. M.
- Venue
- International Journal of Audiology
- Publisher
- Informa UK Limited
- Published
- 1979-01
- Volume
- 18
- Issue
- 1
- Pages
- 43-52
- ISSN
- 1499-2027 (ISSN-L)
- 1708-8186
- OpenAlex
- W2201699278
- Cited by
- 722
- References
- 0
- FWCI
- 1.12
- Type
- journal article
- Language
- en
- Open access
- closed
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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.