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Hearing Lips in Noise : Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition

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dc.contributor.authorHu, Yuchen
dc.contributor.authorLi, Ruizhe
dc.contributor.authorChen, Chen
dc.contributor.authorQin, Chengwei
dc.contributor.authorZhu, Qiu-Shi
dc.contributor.authorChng, Eng Siong
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Computational Linguistics at Aberdeenen
dc.date.accessioned2023-07-11T11:07:01Z
dc.date.available2023-07-11T11:07:01Z
dc.date.issued2023-07-01
dc.format.extent20
dc.format.extent4361833
dc.format.extent4231984
dc.identifier263537717
dc.identifier7cd39f52-42d2-408c-bdd3-f761d6ee03fb
dc.identifier85174417125
dc.identifier.citationHu, Y, Li, R, Chen, C, Qin, C, Zhu, Q-S & Chng, E S 2023, Hearing Lips in Noise : Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition. in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)., 2023.acl-long.649, Association for Computational Linguistics, Toronto, Canada, pp. 15213-15232, The 61st Annual Meeting of the Association for Computational Linguistics, Toronto, Canada, 9/07/23. < http://arxiv.org/abs/2306.10563v1 >en
dc.identifier.citationconferenceen
dc.identifier.isbn978-1-959429-72-2
dc.identifier.otherBibtex: hu-etal-2023-hearing
dc.identifier.otherORCID: /0000-0003-2512-845X/work/138534412
dc.identifier.otherArXiv: http://arxiv.org/abs/2306.10563v1
dc.identifier.urihttps://hdl.handle.net/2164/21188
dc.identifier.urlhttp://arxiv.org/abs/2306.10563v1en
dc.identifier.urlhttps://aclanthology.org/2023.acl-long.848/en
dc.language.isoeng
dc.publisherAssociation for Computational Linguistics
dc.relation.ispartofProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleHearing Lips in Noise : Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognitionen
dc.typeConference itemen

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