Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 장동표 | - |
dc.date.accessioned | 2017-03-27T02:06:23Z | - |
dc.date.available | 2017-03-27T02:06:23Z | - |
dc.date.issued | 2015-07 | - |
dc.identifier.citation | ARTIFICIAL ORGANS, v. 39, no. 4, Page. 361-368 | en_US |
dc.identifier.issn | 0160-564X | - |
dc.identifier.issn | 1525-1594 | - |
dc.identifier.uri | http://onlinelibrary.wiley.com/doi/10.1111/aor.12391/full | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/26325 | - |
dc.description.abstract | In order to provide more consistent sound intelligibility for the hearing-impaired person, regardless of environment, it is necessary to adjust the setting of the hearing-support (HS) device to accommodate various environmental circumstances. In this study, a fully automatic HS device management algorithm that can adapt to various environmental situations is proposed; it is composed of a listening-situation classifier, a noise-type classifier, an adaptive noise-reduction algorithm, and a management algorithm that can selectively turn on/off one or more of the three basic algorithms-beamforming, noise-reduction, and feedback cancellation-and can also adjust internal gains and parameters of the wide-dynamic-range compression (WDRC) and noise-reduction (NR) algorithms in accordance with variations in environmental situations. Experimental results demonstrated that the implemented algorithms can classify both listening situation and ambient noise type situations with high accuracies (92.8-96.4% and 90.9-99.4%, respectively), and the gains and parameters of the WDRC and NR algorithms were successfully adjusted according to variations in environmental situation. The average values of signal-to-noise ratio (SNR), frequency-weighted segmental SNR, Perceptual Evaluation of Speech Quality, and mean opinion test scores of 10 normal-hearing volunteers of the adaptive multiband spectral subtraction (MBSS) algorithm were improved by 1.74 dB, 2.11 dB, 0.49, and 0.68, respectively, compared to the conventional fixed-parameter MBSS algorithm. These results indicate that the proposed environment-adaptive management algorithm can be applied to HS devices to improve sound intelligibility for hearing-impaired individuals in various acoustic environments. | en_US |
dc.description.sponsorship | This work was supported by grants from Seoul R&BD Program (No. SS100022) and was also supported by the Basic Science Research Program through the National Research Foundation of Korea, funded by the Ministry of Education, Science, and Technology (No. 2012R1A1A2041508). The authors are grateful to Silvia Allegro and Phonak for allowing access to their database. | en_US |
dc.language.iso | en | en_US |
dc.publisher | WILEY-BLACKWELL | en_US |
dc.subject | Hearing aid | en_US |
dc.subject | Management algorithm | en_US |
dc.subject | Adaptive noise reduction | en_US |
dc.subject | Classification | en_US |
dc.title | An Environment-Adaptive Management Algorithm for Hearing-Support Devices Incorporating Listening Situation and Noise Type Classifiers | en_US |
dc.type | Article | en_US |
dc.relation.volume | 39 | - |
dc.identifier.doi | 10.1111/aor.12391 | - |
dc.relation.page | 361-368 | - |
dc.relation.journal | ARTIFICIAL ORGANS | - |
dc.contributor.googleauthor | Yook, Sunhyun | - |
dc.contributor.googleauthor | Nam, Kyoung Won | - |
dc.contributor.googleauthor | Kim, Heepyung | - |
dc.contributor.googleauthor | Hong, Sung Hwa | - |
dc.contributor.googleauthor | Jang, Dong Pyo | - |
dc.contributor.googleauthor | Kim, In Young | - |
dc.relation.code | 2015000287 | - |
dc.sector.campus | S | - |
dc.sector.daehak | Graduate School of Biomedical Science & Engineering[S] | - |
dc.identifier.pid | dongpjang | - |
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