These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Search MEDLINE/PubMed
Title: Development and evaluation of the Turkish matrix sentence test. Author: Zokoll MA, Fidan D, Türkyılmaz D, Hochmuth S, Ergenç İ, Sennaroğlu G, Kollmeier B. Journal: Int J Audiol; 2015; 54 Suppl 2():51-61. PubMed ID: 26443486. Abstract: OBJECTIVES: The Turkish matrix sentence test, TURMatrix, was developed for precise, internationally comparable speech intelligibility testing. DESIGN: The TURMatrix comprises a base matrix of ten well-known Turkish names, numbers, adjectives, objects, verbs, from which syntactically fixed sentences were randomly composed. Test conduction may be in an open-set (standard), or closed-set response format. Homogeneity in intelligibility of the test material was optimized by applying level adaptations (maximal ± 3 dB) based on word-specific speech reception thresholds (SRTs). Test list equivalence was verified and reference values were determined. STUDY SAMPLE: Thirty-eight native listeners of Turkish with normal hearing. RESULTS: After training, mean SRT and slope of the final test lists were -8.3 ± 0.2 dB SNR and 14.1 ± 1.0%/dB, respectively (fixed SNR measurements; inter-list variability). For adaptive measurements, average across listeners was -7.2 ± 0.7 dB SNR in the open-set and -7.9 ± 0.7 dB SNR in the closed-set response format. Mean SRT for adaptive measurements in the open-set response format in quiet was 20.3 ± 4.1 dB. Individual SRTs in quiet correlated more closely with audiograms than with SRTs in noise. CONCLUSIONS: The TURMatrix was developed according to European standards and provides reliable speech intelligibility measurements in noise and quiet.[Abstract] [Full Text] [Related] [New Search]