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Influence of noise type on speech reception thresholds across four languages measured with matrix sentence tests
Authors:Sabine Hochmuth  Birger Kollmeier  Thomas Brand  Tim Jürgens
Institution:1. *Cluster of Excellence Hearing4all &2. Medizinische Physik, Carl von Ossietzky Universit?t Oldenburg, Oldenburg, Germanysabine.hochmuth@uni-oldenburg.de;4. Medizinische Physik, Carl von Ossietzky Universit?t Oldenburg, Oldenburg, Germany;5. HoerTech gGmbH, Oldenburg, Germany
Abstract:Objective: To compare speech reception thresholds (SRTs) in noise using matrix sentence tests in four languages: German, Spanish, Russian, Polish. Design: The four tests were composed of equivalent five-word sentences and were all designed and optimized using the same principles. Six stationary speech-shaped noises and three non-stationary noises were used as maskers. Study sample: Forty native listeners with normal hearing: 10 for each language. Results: SRTs were about 3 dB higher for the German and Spanish tests than for the Russian and Polish tests when stationary noise was used that matched the long-term frequency spectrum of the respective speech test materials. This general SRT difference was also observed for the other stationary noises. The within-test variability across noise conditions differed between languages. About 56% of the observed variance was predicted by the speech intelligibility index. The observed SRT benefit in fluctuating noise was similar for all tests, with a slightly smaller benefit for the Spanish test. Conclusions: Of the stationary noises employed, noise with the same spectrum as the speech yielded the best masking. SRT differences across languages and noises could be attributed in part to spectral differences. These findings provide the feasibility and limits of comparing audiological results across languages.
Keywords:Speech reception threshold (SRT)  matrix sentence test  intelligibility  German  Spanish  Russian  Polish  speech intelligibility index (SII)  stationary noise  fluctuating noise  multitalker babble
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