Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A comparison of frequency-invariant beamforming algorithms for hearing aids: Differential microphone-based beamformers and the broadband beamformer

Full metadata record
DC Field Value Language
dc.contributor.authorCho, Kyeongwon-
dc.contributor.authorNam, Kyoung Won-
dc.contributor.authorLee, Jun Chang-
dc.contributor.authorHong, Sung Hwa-
dc.contributor.authorKwon, See Youn-
dc.contributor.authorHan, Jonghee-
dc.contributor.authorKim, Dongwook-
dc.contributor.authorLee, Sangmin-
dc.contributor.authorKim, In Young-
dc.date.accessioned2022-07-16T03:53:29Z-
dc.date.available2022-07-16T03:53:29Z-
dc.date.issued2014-07-
dc.identifier.issn2093-9868-
dc.identifier.issn2093-985X-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/159553-
dc.description.abstractPurpose: Recently, some research groups have suggested the possibility of using the broadband beamformer (BBF) algorithm for hearing aid applications. However, there have been no previous reports to have quantitatively evaluated the relative performance between conventional differential microphone (DM)-based frequency-invariant beamforming algorithms and the broadband beamformer. Methods: In this study, we evaluated the performance of DM-based beamformer algorithms and the BBF algorithm in vitro using the four objective indices of signal-to-noise ratio (SNR), perceptual evaluation of speech quality (PESQ), noise distortion (Cbak) and weighted spectral slope (WSS) in a non-reverberant environment. Results: The experimental results showed that the DM-based algorithms were superior in terms of SNR, WSS and Cbak, and the BBF algorithm was superior in terms of PESQ. Conclusions: Considering the limited performance of hearing aid processors and the experimental results, DM-based frequency-invariant algorithms with a first-order compensation filter are more feasible for real hearing aids. However, additional in vitro and clinical evaluations are required to more accurately verify the clinical feasibility of these algorithms.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisher대한의용생체공학회-
dc.titleA comparison of frequency-invariant beamforming algorithms for hearing aids: Differential microphone-based beamformers and the broadband beamformer-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.1007/s13534-014-0131-5-
dc.identifier.scopusid2-s2.0-84904202954-
dc.identifier.bibliographicCitationBiomedical Engineering Letters (BMEL), v.4, no.2, pp 166 - 175-
dc.citation.titleBiomedical Engineering Letters (BMEL)-
dc.citation.volume4-
dc.citation.number2-
dc.citation.startPage166-
dc.citation.endPage175-
dc.type.docTypeArticle-
dc.identifier.kciidART001891422-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.subject.keywordPlusAudition-
dc.subject.keywordPlusBeamforming-
dc.subject.keywordPlusHearing aids-
dc.subject.keywordPlusMicrophones-
dc.subject.keywordPlusQuality control-
dc.subject.keywordPlusSignal to noise ratio-
dc.subject.keywordPlusBeamformer algorithms-
dc.subject.keywordPlusBeamforming algorithms-
dc.subject.keywordPlusCompensation filters-
dc.subject.keywordPlusDigital hearing aids-
dc.subject.keywordPlusDirectional microphones-
dc.subject.keywordPlusPerceptual evaluation of speech qualities-
dc.subject.keywordPlusRelative performance-
dc.subject.keywordPlusSignaltonoise ratio (SNR)-
dc.subject.keywordPlusAlgorithms-
dc.subject.keywordPlusarticle-
dc.subject.keywordPlusautomatic speech recognition-
dc.subject.keywordPlusbroadband beamformer algorithm-
dc.subject.keywordPluscompensation filter-
dc.subject.keywordPluscomputer simulation-
dc.subject.keywordPlusdirectional hearing-
dc.subject.keywordPlusfilter-
dc.subject.keywordPlusfinite impulse response-
dc.subject.keywordPlusfrequency modulation-
dc.subject.keywordPlushearing aid-
dc.subject.keywordPlushuman-
dc.subject.keywordPluslearning algorithm-
dc.subject.keywordPluslow frequency noise-
dc.subject.keywordPlusmachine learning-
dc.subject.keywordPlusmicrophone based beamformer algorithm-
dc.subject.keywordPlusnoise measurement-
dc.subject.keywordPluspriority journal-
dc.subject.keywordPlussignal noise ratio-
dc.subject.keywordPlussignal processing-
dc.subject.keywordPlusspeech audiometry-
dc.subject.keywordPlusspeech perception-
dc.subject.keywordPlusweighted spectral slope-
dc.subject.keywordAuthorBeamforming-
dc.subject.keywordAuthorDigital hearing aids-
dc.subject.keywordAuthorDirectional microphone-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs13534-014-0131-5-
Files in This Item
Go to Link
Appears in
Collections
서울 의과대학 > 서울 의공학교실 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, In Young photo

Kim, In Young
서울 의과대학 (DEPARTMENT OF BIOMEDICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE