Anna Warzybok1, Melanie Zokoll1, Nina Wardenga2, Edward Ozimek3, Maria Boboshko4, Birger Kollmeier1,5. 1. a * Medizinische Physik and Cluster of Excellence Hearing4all, Carl-von-Ossietzky Universität Oldenburg , Oldenburg , Germany. 2. b Department of Otolaryngology , Medical University of Hanover , Hanover , Germany. 3. c Institute of Acoustics, Adam Mickiewicz University , Poznań , Poland. 4. d St. Petersburg Pavlov State Medical University , St. Petersburg , Russia. 5. e HörTech gGmbH , Oldenburg , Germany.
Abstract
OBJECTIVE: To develop the Russian matrix sentence test for speech intelligibility measurements in noise. DESIGN: Test development included recordings, optimization of speech material, and evaluation to investigate the equivalency of the test lists and training. For each of the 500 test items, the speech intelligibility function, speech reception threshold (SRT: signal-to-noise ratio, SNR, that provides 50% speech intelligibility), and slope was obtained. The speech material was homogenized by applying level corrections. In evaluation measurements, speech intelligibility was measured at two fixed SNRs to compare list-specific intelligibility functions. To investigate the training effect and establish reference data, speech intelligibility was measured adaptively. STUDY SAMPLE: Overall, 77 normal-hearing native Russian listeners. RESULTS: The optimization procedure decreased the spread in SRTs across words from 2.8 to 0.6 dB. Evaluation measurements confirmed that the 16 test lists were equivalent, with a mean SRT of -9.5 ± 0.2 dB and a slope of 13.8 ± 1.6%/dB. The reference SRT, -8.8 ± 0.8 dB for the open-set and -9.4 ± 0.8 dB for the closed-set format, increased slightly for noise levels above 75 dB SPL. CONCLUSIONS: The Russian matrix sentence test is suitable for accurate and reliable speech intelligibility measurements in noise.
OBJECTIVE: To develop the Russian matrix sentence test for speech intelligibility measurements in noise. DESIGN: Test development included recordings, optimization of speech material, and evaluation to investigate the equivalency of the test lists and training. For each of the 500 test items, the speech intelligibility function, speech reception threshold (SRT: signal-to-noise ratio, SNR, that provides 50% speech intelligibility), and slope was obtained. The speech material was homogenized by applying level corrections. In evaluation measurements, speech intelligibility was measured at two fixed SNRs to compare list-specific intelligibility functions. To investigate the training effect and establish reference data, speech intelligibility was measured adaptively. STUDY SAMPLE: Overall, 77 normal-hearing native Russian listeners. RESULTS: The optimization procedure decreased the spread in SRTs across words from 2.8 to 0.6 dB. Evaluation measurements confirmed that the 16 test lists were equivalent, with a mean SRT of -9.5 ± 0.2 dB and a slope of 13.8 ± 1.6%/dB. The reference SRT, -8.8 ± 0.8 dB for the open-set and -9.4 ± 0.8 dB for the closed-set format, increased slightly for noise levels above 75 dB SPL. CONCLUSIONS: The Russian matrix sentence test is suitable for accurate and reliable speech intelligibility measurements in noise.
Authors: Giuseppina Emma Puglisi; Federica di Berardino; Carla Montuschi; Fatma Sellami; Andrea Albera; Diego Zanetti; Roberto Albera; Arianna Astolfi; Birger Kollmeier; Anna Warzybok Journal: Audiol Res Date: 2021-02-25