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Audiology and Speech Research > Volume 13(1); 2017 > Article
Audiology and Speech Research 2017;13(1): 9-18.
Published online: January 31, 2017.
doi: http://doi.org/10.21848/asr.2017.13.1.9
변동형 소음 하 문장인지 평가 도구의 비교
이재희, 이동운
한림국제대학원대학교 청각학과
A Comparison of Adaptive Sentence-in-Noise Tests
Jae Hee Lee, Dong Woon Yi
Department of Audiology, Hallym University of Graduate Studies, Seoul, Korea
Correspondence  Jae Hee Lee ,Tel: +82-2-2051-2942, Fax: +82-2-3453-6618, Email: leejaehee@hallym.ac.kr
Received: January 31, 2017; Revised: January 31, 2017   Accepted: January 31, 2017.  Published online: January 31, 2017.
Daily communication often requires the ability to understand speech in background noise. Given that speech-in-noise understanding is not predictable from speech recognition in quiet and that sentences are more representative of daily communication, different forms (fixed vs. adaptive) of sentence-in-noise tests have been developed and standardized. Relative to the fixed test, the adaptive sentence-in-noise tests are known to be more useful to adjust the difficulty level of the test. Given this advantage, the present review focuses on the features of the adaptive sentence-in-noise tests.
Various types of adaptive sentence-in-noise tests have been developed internationally and standardized for multi-language. This paper compares and summarizes three adaptive sentence-in-noise tests (Hearing in Noise Test, Quick Speech-In-Noise test, and Matrix test) in terms of the three aspects: 1) sources of target sentences and background noise, 2) test procedure and scoring formula, and 3) norms and interpretation of test results.
For all the types of adaptive tests, the intensity level of the target sentence or the noise is adjusted based on the listener’s response. The sources of target sentences and background noise differ among tests. Various multi-lingual versions of the Hearing in Noise Test and the Matrix test have been developed and reported. All the three tests measure sentence recognition threshold where correct sentence recognition of 50% occurs. However, the test procedure (i.e., presentation of stimuli/noise, the step size), the scoring formula, and the method to establish norms and interpret the test results depend on the purpose of each test.
Compared to other languages, a lack of Korean adaptive sentence-innoise test tools poses challenges for clinical practice and research in Korea. Thus, development of the adaptive Korean sentence-in-noise test which is reliable and efficient is required to quantify speech-recognition abilities of listeners with hearing loss. After developing the adaptive test, the reliability and validity tests need to be continued to estimate the amount of everyday communication difficulty sensitively and to provide better insights into the appropriate amplification and communication strategies.
Key Words: Adaptive sentence-in-noise test, Speech perception in noise, Speech audiometry.
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