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Paper Dietz Buschermöhle et al 2014

The development and evaluation of the Finnish Matrix Sentence Test for speech intelligibility assessment

Aarno Dietz, Michael Buschermöhle, Antti A. Aarnisalo, Annukka Vanhanen, Taneli Hyyrynen, Olli Aaltonen, Melanie A. Zokoll, Birger Kollmeier (2014) Acta Oto-Laryngologica, vol. 134(7), pp. 728–737

Conclusion: The Finnish Matrix Test is the first sentence test in noise for the Finnish language. It was developed according to the HearCom standards and provides reliable speech intelligibility measurements with highly comparable results with the other international matrix tests.

Objectives: The aim of the study was to develop an accurate speech intelligibility test in noise for the Finnish language that is comparable across different languages.

Methods: We chose a matrix sentence test, which comprises a base matrix of 10 names, verbs, numerals, adjectives and nouns. Test lists were formed from this matrix quasi randomly, providing test sentences of the same syntactical structure. The speech material corresponds to everyday spoken language and the phoneme distribution is representative of the Finnish language. The test was optimized by determining the speech recognition thresholds of the individual words and subsequently by applying level corrections of up to ±3 dB. Evaluation measurements were performed to check the equivalence of the different test lists with respect to speech intelligibility and to provide reference values for further clinical applications.

Results: After training, the mean speech recognition threshold (SRT) and the slope of the final test lists were -10.1 ± 0.1 dB signal-to-noise-ratio (SNR)and 16.7 ± 1.2%/dB, respectively (measurements at constant level; inter-list variability). The mean SRT and the slope of the test subjects were -10.1 ± 0.7 dB SNR and 17.5 ± 2.2%/dB (measurements at constant level; inter-subject variability). The expected SRT range for normal-hearing young adults for adaptive measurements is -9.7 ± 0.7 dB SNR.

Link to the publication

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