Literature DB >> 22762202

Internationally comparable screening tests for listening in noise in several European languages: the German digit triplet test as an optimization prototype.

Melanie A Zokoll1, Kirsten C Wagener, Thomas Brand, Michael Buschermöhle, Birger Kollmeier.   

Abstract

OBJECTIVE: A review is given of internationally comparable speech-in-noise tests for hearing screening purposes that were part of the European HearCom project. This report describes the development, optimization, and evaluation of such tests for headphone and telephone presentation, using the example of the German digit triplet test. In order to achieve the highest possible comparability, language- and speaker-dependent factors in speech intelligibility should be compensated for.
MATERIALS AND METHODS: The tests comprise spoken numbers in background noise and estimate the speech reception threshold (SRT), i.e. the signal-to-noise ratio (SNR) yielding 50% speech intelligibility.
RESULTS: The respective reference speech intelligibility functions for headphone and telephone presentation of the German version for 15 and 10 normal-hearing listeners are described by a SRT of -9.3 ± 0.2 and -6.5 ± 0.4 dB SNR, and slopes of 19.6 and 17.9%/dB, respectively. Reference speech intelligibility functions of all digit triplet tests optimized within the HearCom project allow for investigation of the comparability due to language specificities.
CONCLUSIONS: The optimization criteria established here should be used for similar screening tests in other languages.

Mesh:

Year:  2012        PMID: 22762202     DOI: 10.3109/14992027.2012.690078

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  12 in total

1.  [Prevalence of hearing impairment in northwestern Germany. Results of an epidemiological study on hearing status (HÖRSTAT)].

Authors:  P von Gablenz; I Holube
Journal:  HNO       Date:  2015-03       Impact factor: 1.284

2.  Framework and baseline examination of the German National Cohort (NAKO).

Authors:  Annette Peters; Annette Peters; Karin Halina Greiser; Susanne Göttlicher; Wolfgang Ahrens; Maren Albrecht; Fabian Bamberg; Till Bärnighausen; Heiko Becher; Klaus Berger; Achim Beule; Heiner Boeing; Barbara Bohn; Kerstin Bohnert; Bettina Braun; Hermann Brenner; Robin Bülow; Stefanie Castell; Antje Damms-Machado; Marcus Dörr; Nina Ebert; Margit Ecker; Carina Emmel; Beate Fischer; Claus-Werner Franzke; Sylvia Gastell; Guido Giani; Matthias Günther; Kathrin Günther; Klaus-Peter Günther; Johannes Haerting; Ulrike Haug; Iris M Heid; Margit Heier; Diana Heinemeyer; Thomas Hendel; Florian Herbolsheimer; Jochen Hirsch; Wolfgang Hoffmann; Bernd Holleczek; Heike Hölling; Andreas Hörlein; Karl-Heinz Jöckel; Rudolf Kaaks; André Karch; Stefan Karrasch; Nadja Kartschmit; Hans-Ulrich Kauczor; Thomas Keil; Yvonne Kemmling; Bianca Klee; Birgit Klüppelholz; Alexander Kluttig; Lisa Kofink; Anna Köttgen; Daniel Kraft; Gérard Krause; Lisa Kretz; Lilian Krist; Jan Kühnisch; Oliver Kuß; Nicole Legath; Anna-Therese Lehnich; Michael Leitzmann; Wolfgang Lieb; Jakob Linseisen; Markus Loeffler; Anke Macdonald; Klaus H Maier-Hein; Nina Mangold; Claudia Meinke-Franze; Christa Meisinger; Juliane Melzer; Björn Mergarten; Karin B Michels; Rafael Mikolajczyk; Susanne Moebus; Ulrich Mueller; Matthias Nauck; Thoralf Niendorf; Konstantin Nikolaou; Nadia Obi; Stefan Ostrzinski; Leo Panreck; Iris Pigeot; Tobias Pischon; Irene Pschibul-Thamm; Wolfgang Rathmann; Achim Reineke; Stefanie Roloff; Dan Rujescu; Stefan Rupf; Oliver Sander; Tamara Schikowski; Sabine Schipf; Peter Schirmacher; Christopher L Schlett; Börge Schmidt; Georg Schmidt; Martin Schmidt; Gina Schöne; Holger Schulz; Matthias B Schulze; Alexandra Schweig; Anja M Sedlmeier; Sonja Selder; Julia Six-Merker; Ramona Sowade; Andreas Stang; Oliver Stegle; Karen Steindorf; Gunthard Stübs; Enno Swart; Henning Teismann; Inke Thiele; Sigrid Thierry; Marius Ueffing; Henry Völzke; Sabina Waniek; Andrea Weber; Nicole Werner; H-Erich Wichmann; Stefan N Willich; Kerstin Wirkner; Kathrin Wolf; Robert Wolff; Hajo Zeeb; Melanie Zinkhan; Johannes Zschocke
Journal:  Eur J Epidemiol       Date:  2022-10-19       Impact factor: 12.434

3.  A Smartphone National Hearing Test: Performance and Characteristics of Users.

Authors:  Karina C De Sousa; De Wet Swanepoel; David R Moore; Cas Smits
Journal:  Am J Audiol       Date:  2018-11-19       Impact factor: 1.493

4.  Development and validation of a digits-in-noise hearing test in Persian.

Authors:  Lina Motlagh Zadeh; Noah H Silbert; Katherine Sternasty; David R Moore
Journal:  Int J Audiol       Date:  2020-09-09       Impact factor: 2.117

5.  Development of a Smartphone-Based Digits-in-Noise Test in Korean: a Hearing Screening Tool for Speech Perception in Noise.

Authors:  Ji Hye Han; Dong Woon Yi; Jihyun Lee; Won Du Chang; Hyo Jeong Lee
Journal:  J Korean Med Sci       Date:  2020-06-01       Impact factor: 2.153

6.  Improving Sensitivity of the Digits-In-Noise Test Using Antiphasic Stimuli.

Authors:  Karina C De Sousa; De Wet Swanepoel; David R Moore; Hermanus Carel Myburgh; Cas Smits
Journal:  Ear Hear       Date:  2020 Mar/Apr       Impact factor: 3.570

7.  Speech Audiometry at Home: Automated Listening Tests via Smart Speakers With Normal-Hearing and Hearing-Impaired Listeners.

Authors:  Jasper Ooster; Melanie Krueger; Jörg-Hendrik Bach; Kirsten C Wagener; Birger Kollmeier; Bernd T Meyer
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

8.  Optimization of the Speech Test Material in a Group of Hearing Impaired Subjects: A Feasibility Study for Multilingual Digit Triplet Test Development.

Authors:  Marcin Masalski; Martyna Adamczyk; Krzysztof Morawski
Journal:  Audiol Res       Date:  2021-07-12

9.  Automated screening for high-frequency hearing loss.

Authors:  Marcel S M G Vlaming; Robert C MacKinnon; Marije Jansen; David R Moore
Journal:  Ear Hear       Date:  2014 Nov-Dec       Impact factor: 3.570

10.  Language-Independent Hearing Screening Based on Masked Recognition of Ecological Sounds.

Authors:  Sam Denys; Jan De Laat; Wouter Dreschler; Michael Hofmann; Astrid van Wieringen; Jan Wouters
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

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