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Speech-in-noise tests for multilingual hearing screening and diagnostics1
Melanie A Zokoll1, Sabine Hochmuth, Anna Warzybok
1Carl von Ossietzky University Oldenburg, Germany. melanie.zokoll@uni-oldenburg.de
American Journal of Audiology
|June 27, 2013
Summary
New multilingual speech-in-noise tests in Russian, Turkish, and Spanish demonstrate high comparability to existing European standards. These hearing screening and diagnostic tools are reliable across different languages and speakers.
Area of Science:
- Audiology
- Speech-language pathology
- Psycholinguistics
Background:
- Hearing loss diagnosis and self-screening are crucial for timely intervention.
- Existing speech-in-noise tests may lack multilingual applicability.
- The HearCom project established quality standards for speech intelligibility tests.
Purpose of the Study:
- To compare newly developed multilingual speech-in-noise tests (Russian, Turkish, Spanish) with established HearCom tests.
- To evaluate the suitability of these tests for hearing self-screening and diagnostics.
- To assess cross-language comparability of speech intelligibility functions.
Main Methods:
- Utilized Digit Triplet Test and Matrix Test formats with spoken numbers or sentences in background noise.
- Estimated speech reception threshold (SRT) as the signal-to-noise ratio for 50% speech intelligibility.
- Applied a consistent model function for cross-language comparison of speech intelligibility functions in normal-hearing listeners.
Main Results:
- Reference speech intelligibility functions for the new Digit Triplet Test and Matrix Test versions showed high comparability with HearCom tests.
- The developed tests adhere to HearCom minimum quality standards.
- Language- and speaker-dependent factors require compensation for optimal cross-language comparability.
Conclusions:
- Multiple complementary multilingual tests for hearing screening and diagnostics are now available.
- These tests, developed under HearCom standards, exhibit high cross-language comparability.
- The Matrix Test maintained consistent syntax and linguistic complexity across languages, ensuring methodological standardization.
