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dc.contributor.authorSeongyeon Park-
dc.contributor.authorMyungseo Song-
dc.contributor.authorBohyung Kim-
dc.contributor.authorOh, Tae-Hyun-
dc.date.accessioned2023-03-02T08:50:52Z-
dc.date.available2023-03-02T08:50:52Z-
dc.date.created2023-03-02-
dc.date.issued2023-06-04-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/116244-
dc.publisherInstitute of Electrical and Electronics Engineers Signal Processing Society-
dc.relation.isPartOfInternational Conference on Acoustics, Speech, and Signal Processing-
dc.relation.isPartOfProceedings of 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing-
dc.titleUnsupervised Pre-training for Data-Efficient Text-to-Speech on Low Resource Languages-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationInternational Conference on Acoustics, Speech, and Signal Processing-
dc.citation.conferenceDate2023-06-04-
dc.citation.conferencePlaceGR-
dc.citation.titleInternational Conference on Acoustics, Speech, and Signal Processing-
dc.contributor.affiliatedAuthorOh, Tae-Hyun-
dc.description.journalClass1-
dc.description.journalClass1-

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