Semi-Supervised Domain Adaptation for End-to-End Automatic Speech Recognition

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 172
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorJeong, Hyeonjaeko
dc.contributor.authorGoo, Jahyunko
dc.contributor.authorKim, Seunghiko
dc.contributor.authorKim, Hoi-Rinko
dc.date.accessioned2019-12-13T07:36:03Z-
dc.date.available2019-12-13T07:36:03Z-
dc.date.created2019-11-24-
dc.date.created2019-11-24-
dc.date.issued2019-11-15-
dc.identifier.citationSICSS 2019, pp.134-
dc.identifier.issn2005-9299-
dc.identifier.urihttp://hdl.handle.net/10203/268965-
dc.languageEnglish-
dc.publisherKorean Society of Speech Sciences-
dc.titleSemi-Supervised Domain Adaptation for End-to-End Automatic Speech Recognition-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage134-
dc.citation.endingpage134-
dc.citation.publicationnameSICSS 2019-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationSeoul National University, Seoul-
dc.contributor.localauthorKim, Hoi-Rin-
dc.contributor.nonIdAuthorKim, Seunghi-
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0