Development and evaluation of the Turkish matrix sentence test |
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Authors: | Melanie A. Zokoll Dilek Fidan Didem Türkyılmaz Sabine Hochmuth İclâl Ergenç Gonca Sennaroğlu |
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Affiliation: | 1. *Medizinische Physik and Cluster of Excellence Hearing4all, Carl von Ossietzky Universit?t Oldenburg, Germanymelanie.zokoll@uni-oldenburg.de;3. Department of Turkish Language Teaching, Kocaeli University, Kocaeli, Turkey;4. Audiology Department Health Sciences Faculty, Hacettepe University, Ankara, Turkey;5. *Medizinische Physik and Cluster of Excellence Hearing4all, Carl von Ossietzky Universit?t Oldenburg, Germany;6. Department of Linguistics, Ankara University, Ankara, Turkey |
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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. |
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Keywords: | Speech audiometry speech recognition in noise signal-to-noise ratio (SNR) speech reception threshold (SRT) matrix sentence test, Turkish |
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