Detailed Information

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

ResMax: Detecting Voice Spoofing Attacks with Residual Network and Max Feature Map

Full metadata record
DC Field Value Language
dc.contributor.authorYoon, Ji Won-
dc.date.accessioned2022-01-22T12:41:57Z-
dc.date.available2022-01-22T12:41:57Z-
dc.date.created2022-01-22-
dc.date.issued2021-01-12-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/135124-
dc.publisherInternational Association of Pattern Recognition-
dc.titleResMax: Detecting Voice Spoofing Attacks with Residual Network and Max Feature Map-
dc.title.alternativeResMax: Detecting Voice Spoofing Attacks with Residual Network and Max Feature Map-
dc.typeConference-
dc.contributor.affiliatedAuthorYoon, Ji Won-
dc.identifier.bibliographicCitation25th International Conference on Pattern Recognition (ICPR)-
dc.relation.isPartOf25th International Conference on Pattern Recognition (ICPR)-
dc.relation.isPartOf2020 25th International Conference on Pattern Recognition (ICPR)-
dc.citation.title25th International Conference on Pattern Recognition (ICPR)-
dc.citation.conferencePlaceIT-
dc.citation.conferencePlaceMilan, Italy-
dc.citation.conferenceDate2021-01-10-
dc.type.rimsCONF-
dc.description.journalClass1-
Files in This Item
There are no files associated with this item.
Appears in
Collections
School of Cyber Security > Department of Information Security > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Yoon, Ji Won photo

Yoon, Ji Won
정보보호학과
Read more

Altmetrics

Total Views & Downloads

BROWSE