Detailed Information

Cited 6 time in webofscience Cited 7 time in scopus
Metadata Downloads

Statistical voice activity detection in kernel space

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Dong Kook-
dc.contributor.authorChang, Joon-Hyuk-
dc.date.accessioned2021-08-02T19:27:18Z-
dc.date.available2021-08-02T19:27:18Z-
dc.date.created2021-05-12-
dc.date.issued2012-10-
dc.identifier.issn0001-4966-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/27459-
dc.description.abstractThis paper proposes a statistical voice activity detection method in a high-dimensional kernel feature space by a nonlinear mapping. A Gaussian density model is presented using kernel principal component analysis to represent the nonlinear characteristics of the speech signal. The proposed approach offers a decision rule based on a multiple observation likelihood ratio test in the kernel space. (C) 2012 Acoustical Society of America-
dc.language영어-
dc.language.isoen-
dc.publisherACOUSTICAL SOC AMER AMER INST PHYSICS-
dc.titleStatistical voice activity detection in kernel space-
dc.typeArticle-
dc.contributor.affiliatedAuthorChang, Joon-Hyuk-
dc.identifier.doi10.1121/1.4747325-
dc.identifier.scopusid2-s2.0-84867379461-
dc.identifier.wosid000309650600008-
dc.identifier.bibliographicCitationJOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, v.132, no.4, pp.EL303 - EL309-
dc.relation.isPartOfJOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA-
dc.citation.titleJOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA-
dc.citation.volume132-
dc.citation.number4-
dc.citation.startPageEL303-
dc.citation.endPageEL309-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaAcoustics-
dc.relation.journalResearchAreaAudiology & Speech-Language Pathology-
dc.relation.journalWebOfScienceCategoryAcoustics-
dc.relation.journalWebOfScienceCategoryAudiology & Speech-Language Pathology-
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Chang, Joon-Hyuk photo

Chang, Joon-Hyuk
COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE