| Gap-in-Noise (GIN) 검사를 통한 한국인의 시간적 분석 능력 |
| 최정희1, 김유경2, 장현숙2 |
1한림대학교 일반대학원 언어청각학과
2한림대학교 자연과학대학 언어청각학부, 청각언어연구소 |
| Temporal Resolution Ability in Korean Population by
Gap-in-Noise (GIN) |
| Junghee Choi1, Yukyoung Kim-Lee2, Hyunsook Jang2 |
1Department of Speech Pathology and Audiology, Graduate School, Hallym University, Chuncheon, Korea
2Division of Speech Pathology and Audiology, Research Institute of Audiology and Speech Pathology, College of Natural Sciences, Hallym University, Chuncheon, Korea |
| Correspondence |
Hyunsook Jang ,Tel: (033) 248-2210, Fax: (033) 256-3420, Email: hsjang@hallym.ac.kr
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Received: November 1, 2013; Revised: December 10, 2013 Accepted: December 17, 2013. Published online: December 31, 2013. |
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| ABSTRACT |
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This study aimed at investigating the ability of temporal resolution in Korean adult population using Gaps-in-Noise
(GIN) test, and examining the clinical feasibility for the diagnosis of auditory processing disorder. For the GIN test,
mean approximated gap detection thresholds (A.th.) and percent correct responses were obtained. The reliability of
the GIN was also tested. Subjects were 40 adults (20 males and 20 females) in their 20 years with normal hearing
sensitivity. The results of this study are as follows. First, the results of GIN test showed that the mean A.th. were
4.95 (± 1.15) and 5.05 (± 1.18) msec for the right and left ears, respectively and the percent correct scores were
72.08% (± 7.13) and 72.13% (± 7.72) for the right and left ears, respectively. There were no significant differences
between ears and genders. Furthermore, it is revealed that GIN is a high reliability test. The inter-list consistency
indicated an equivalency between four GIN lists showed no significant difference. These findings in this study are
similar to the results of the studies performed to other language population. Results of the study support that
temporal resolution abilities measured by GIN may also be clinically feasible for Korean adult population. |
| Key Words:
Signal-to-noise ratio (SNR), Word recognition, Speech noise, White noise, Multi-talker babble noise |
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