Detailed Information

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

DNN-HMM 과 End-to-End 방법의 한국어 음성 인식 성능 비교

Full metadata record
DC Field Value Language
dc.contributor.authorYook, Dongsuk-
dc.date.accessioned2022-11-27T07:40:30Z-
dc.date.available2022-11-27T07:40:30Z-
dc.date.created2022-11-26-
dc.date.issued2021-11-03-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/146286-
dc.publisher한국음향학회-
dc.titleDNN-HMM 과 End-to-End 방법의 한국어 음성 인식 성능 비교-
dc.title.alternativeComparison of DNN-HMM and End-to-End Approaches for Korean Speech Recognition-
dc.typeConference-
dc.contributor.affiliatedAuthorYook, Dongsuk-
dc.identifier.bibliographicCitation한국음향학회 학술대회-
dc.relation.isPartOf한국음향학회 학술대회-
dc.relation.isPartOf한국음향학회 2021 추계학술대회 발표논문집-
dc.citation.title한국음향학회 학술대회-
dc.citation.conferencePlaceKO-
dc.citation.conferenceDate2021-11-03-
dc.type.rimsCONF-
dc.description.journalClass2-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Computer Science and Engineering > 2. Conference Papers

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE