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dc.contributor.authorHYUNSUK, HUH-
dc.contributor.authorLEE, SEUNGCHUL-
dc.date.accessioned2022-02-10T01:21:36Z-
dc.date.available2022-02-10T01:21:36Z-
dc.date.created2022-02-09-
dc.date.issued2021-08-01-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/109287-
dc.publisherThe International Institute of Noise Control Engineering-
dc.relation.isPartOf50th International Congress and Exposition on Noise Control Engineering: Inter-Noise 2021-
dc.relation.isPartOf50th International Congress and Exposition on Noise Control Engineering: Inter-Noise 2021-
dc.titleBackground Noise Removal Technique using Deep Learning Segmentation Network without Segmentation Map-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation50th International Congress and Exposition on Noise Control Engineering: Inter-Noise 2021-
dc.citation.conferenceDate2021-08-01-
dc.citation.conferencePlaceUS-
dc.citation.title50th International Congress and Exposition on Noise Control Engineering: Inter-Noise 2021-
dc.contributor.affiliatedAuthorHYUNSUK, HUH-
dc.contributor.affiliatedAuthorLEE, SEUNGCHUL-
dc.description.journalClass1-
dc.description.journalClass1-

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이승철LEE, SEUNGCHUL
Dept of Mechanical Enginrg
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