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Large Language Models are Efficient Learners of Noise-Robust Speech Recognition

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dc.contributor.authorHu, Yuchen
dc.contributor.authorChen, Chen
dc.contributor.authorYang, Chao-Han Huck
dc.contributor.authorLi, Ruizhe
dc.contributor.authorZhang, Chao
dc.contributor.authorChen, Pin-Yu
dc.contributor.authorChng, EnSiong
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Computational Linguistics at Aberdeenen
dc.date.accessioned2024-02-27T11:51:01Z
dc.date.available2024-02-27T11:51:01Z
dc.date.issued2024-05-07
dc.descriptionAccepted to ICLR 2024, Spotlight top 5%, 24 pages. This work will be open sourced at: https://github.com/YUCHEN005/RobustGER under MIT licenseen
dc.format.extent24
dc.format.extent1878569
dc.identifier289737050
dc.identifier7f7f959b-7095-4caa-a559-07b63a2174a0
dc.identifier85198276513
dc.identifier.citationHu, Y, Chen, C, Yang, C-H H, Li, R, Zhang, C, Chen, P-Y & Chng, E 2024, Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. in Advances in Neural Information Processing System. International Conference on Learning Representations, ICLR 2024 , Vienna, Austria, 7/05/24. https://doi.org/10.48550/arXiv.2401.10446en
dc.identifier.citationconferenceen
dc.identifier.doi10.48550/arXiv.2401.10446
dc.identifier.otherArXiv: http://arxiv.org/abs/2401.10446v1
dc.identifier.otherORCID: /0000-0003-2512-845X/work/154626425
dc.identifier.urihttps://hdl.handle.net/2164/22864
dc.identifier.urlhttps://github.com/YUCHEN005/RobustGER?tab=readme-ov-fileen
dc.language.isoeng
dc.publisherInternational Conference on Learning Representations
dc.relation.ispartofAdvances in Neural Information Processing Systemen
dc.subjectcs.CLen
dc.subjectcs.AIen
dc.subjectcs.LGen
dc.subjectcs.SDen
dc.subjecteess.ASen
dc.subjectQA76 Computer softwareen
dc.subject.lccQA76en
dc.titleLarge Language Models are Efficient Learners of Noise-Robust Speech Recognitionen
dc.typeConference itemen

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