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Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis

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dc.contributor.authorLee, Seong Whan-
dc.date.accessioned2022-11-27T12:41:02Z-
dc.date.available2022-11-27T12:41:02Z-
dc.date.created2022-11-26-
dc.date.issued2021-02-06-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/146314-
dc.publisherThe Association for the Advancement of Artificial Intelligence-
dc.titleMulti-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis-
dc.title.alternativeMulti-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis-
dc.typeConference-
dc.contributor.affiliatedAuthorLee, Seong Whan-
dc.identifier.bibliographicCitationThe Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)-
dc.relation.isPartOfThe Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)-
dc.relation.isPartOfProc. AAAI-
dc.citation.titleThe Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)-
dc.citation.conferencePlaceCN-
dc.citation.conferenceDate2021-02-02-
dc.type.rimsCONF-
dc.description.journalClass1-
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