Abstract
Purpose: The purpose of this study is to report normative data and predict thresholds for a rapid test of spatial release from masking for speech perception. The test is easily administered and has good repeatability, with the potential to be used in clinics and laboratories. Normative functions were generated for adults varying in age and amounts of hearing loss. Method: The test of spatial release presents a virtual auditory scene over headphones with 2 conditions: colocated (with target and maskers at 0°) and spatially separated (with target at 0° and maskers at ± 45°). Listener thresholds are determined as target-to-masker ratios, and spatial release from masking (SRM) is determined as the difference between the colocated condition and spatially separated condition. Multiple linear regression was used to fit the data from 82 adults 18-80 years of age with normal to moderate hearing loss (0-40 dB HL pure-tone average [PTA]). The regression equations were then used to generate normative functions that relate age (in years) and hearing thresholds (as PTA) to target-to-masker ratios and SRM. Results: Normative functions were able to predict thresholds with an error of less than 3.5 dB in all conditions. In the colocated condition, the function included only age as a predictive parameter, whereas in the spatially separated condition, both age and PTA were included as parameters. For SRM, PTA was the only significant predictor. Different functions were generated for the 1st run, the 2nd run, and the average of the 2 runs. All 3 functions were largely similar in form, with the smallest error being associated with the function on the basis of the average of 2 runs. Conclusion: With the normative functions generated from this data set, it would be possible for a researcher or clinician to interpret data from a small number of participants or even a single patient without having to first collect data from a control group, substantially reducing the time and resources needed. Supplemental Material: https://doi.org/10.23641/asha.7080878.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 529-538 |
| Number of pages | 10 |
| Journal | American Journal of Audiology |
| Volume | 27 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 6 2018 |
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ASJC Scopus subject areas
- Speech and Hearing
Cite this
Normative Data for a Rapid, Automated Test of Spatial Release From Masking. / Jakien, Kasey M.; Gallun, Frederick.
In: American Journal of Audiology, Vol. 27, No. 4, 06.12.2018, p. 529-538.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Normative Data for a Rapid, Automated Test of Spatial Release From Masking
AU - Jakien, Kasey M.
AU - Gallun, Frederick
PY - 2018/12/6
Y1 - 2018/12/6
N2 - Purpose: The purpose of this study is to report normative data and predict thresholds for a rapid test of spatial release from masking for speech perception. The test is easily administered and has good repeatability, with the potential to be used in clinics and laboratories. Normative functions were generated for adults varying in age and amounts of hearing loss. Method: The test of spatial release presents a virtual auditory scene over headphones with 2 conditions: colocated (with target and maskers at 0°) and spatially separated (with target at 0° and maskers at ± 45°). Listener thresholds are determined as target-to-masker ratios, and spatial release from masking (SRM) is determined as the difference between the colocated condition and spatially separated condition. Multiple linear regression was used to fit the data from 82 adults 18-80 years of age with normal to moderate hearing loss (0-40 dB HL pure-tone average [PTA]). The regression equations were then used to generate normative functions that relate age (in years) and hearing thresholds (as PTA) to target-to-masker ratios and SRM. Results: Normative functions were able to predict thresholds with an error of less than 3.5 dB in all conditions. In the colocated condition, the function included only age as a predictive parameter, whereas in the spatially separated condition, both age and PTA were included as parameters. For SRM, PTA was the only significant predictor. Different functions were generated for the 1st run, the 2nd run, and the average of the 2 runs. All 3 functions were largely similar in form, with the smallest error being associated with the function on the basis of the average of 2 runs. Conclusion: With the normative functions generated from this data set, it would be possible for a researcher or clinician to interpret data from a small number of participants or even a single patient without having to first collect data from a control group, substantially reducing the time and resources needed. Supplemental Material: https://doi.org/10.23641/asha.7080878.
AB - Purpose: The purpose of this study is to report normative data and predict thresholds for a rapid test of spatial release from masking for speech perception. The test is easily administered and has good repeatability, with the potential to be used in clinics and laboratories. Normative functions were generated for adults varying in age and amounts of hearing loss. Method: The test of spatial release presents a virtual auditory scene over headphones with 2 conditions: colocated (with target and maskers at 0°) and spatially separated (with target at 0° and maskers at ± 45°). Listener thresholds are determined as target-to-masker ratios, and spatial release from masking (SRM) is determined as the difference between the colocated condition and spatially separated condition. Multiple linear regression was used to fit the data from 82 adults 18-80 years of age with normal to moderate hearing loss (0-40 dB HL pure-tone average [PTA]). The regression equations were then used to generate normative functions that relate age (in years) and hearing thresholds (as PTA) to target-to-masker ratios and SRM. Results: Normative functions were able to predict thresholds with an error of less than 3.5 dB in all conditions. In the colocated condition, the function included only age as a predictive parameter, whereas in the spatially separated condition, both age and PTA were included as parameters. For SRM, PTA was the only significant predictor. Different functions were generated for the 1st run, the 2nd run, and the average of the 2 runs. All 3 functions were largely similar in form, with the smallest error being associated with the function on the basis of the average of 2 runs. Conclusion: With the normative functions generated from this data set, it would be possible for a researcher or clinician to interpret data from a small number of participants or even a single patient without having to first collect data from a control group, substantially reducing the time and resources needed. Supplemental Material: https://doi.org/10.23641/asha.7080878.
UR - http://www.scopus.com/inward/record.url?scp=85058607710&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058607710&partnerID=8YFLogxK
U2 - 10.1044/2018_AJA-17-0069
DO - 10.1044/2018_AJA-17-0069
M3 - Article
C2 - 30458523
AN - SCOPUS:85058607710
VL - 27
SP - 529
EP - 538
JO - American Journal of Audiology
JF - American Journal of Audiology
SN - 1059-0889
IS - 4
ER -