Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-21550
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dc.contributor.authorBüchi, Matthias-
dc.contributor.authorUlasik, Malgorzata Anna-
dc.contributor.authorHürlimann, Manuela-
dc.contributor.authorBenites de Azevedo e Souza, Fernando-
dc.contributor.authorvon Däniken, Pius-
dc.contributor.authorCieliebak, Mark-
dc.date.accessioned2021-02-04T13:11:33Z-
dc.date.available2021-02-04T13:11:33Z-
dc.date.issued2020-06-
dc.identifier.issn1613-0073de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/21550-
dc.description.abstractThis paper presents the contribution of ZHAW-InIT to Task 4 ”Low-Resource STT” at GermEval 2020. The goal of the task is to develop a system for translating Swiss German dialect speech into Standard German text in the domain of parliamentary debates. Our approach is based on Jasper, a CNN Acoustic Model, which we fine-tune on the task data. We enhance the base system with an extended Language Model containing in-domain data and speed perturbation and run further experiments with post-processing. Our submission achieved first place with a final Word Error Rate of 40.29%.de_CH
dc.language.isoende_CH
dc.publisherCEUR Workshop Proceedingsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subject.ddc410.285: Computerlinguistikde_CH
dc.titleZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-textde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.21256/zhaw-21550-
zhaw.conference.details5th SwissText & 16th KONVENS Joint Conference, Zurich (online), 24-25 June 2020de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.parentwork.editorEbling, Sarah-
zhaw.parentwork.editorTuggener, Don-
zhaw.parentwork.editorHürlimann, Manuela-
zhaw.parentwork.editorCieliebak, Mark-
zhaw.parentwork.editorVolk, Martin-
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedingsProceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS)de_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedSoftware Systemsde_CH
zhaw.webfeedNatural Language Processingde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Büchi, M., Ulasik, M. A., Hürlimann, M., Benites de Azevedo e Souza, F., von Däniken, P., & Cieliebak, M. (2020). ZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-text [Conference paper]. In S. Ebling, D. Tuggener, M. Hürlimann, M. Cieliebak, & M. Volk (Eds.), Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-21550
Büchi, M. et al. (2020) ‘ZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-text’, in S. Ebling et al. (eds) Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). CEUR Workshop Proceedings. Available at: https://doi.org/10.21256/zhaw-21550.
M. Büchi, M. A. Ulasik, M. Hürlimann, F. Benites de Azevedo e Souza, P. von Däniken, and M. Cieliebak, “ZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-text,” in Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), Jun. 2020. doi: 10.21256/zhaw-21550.
BÜCHI, Matthias, Malgorzata Anna ULASIK, Manuela HÜRLIMANN, Fernando BENITES DE AZEVEDO E SOUZA, Pius VON DÄNIKEN und Mark CIELIEBAK, 2020. ZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-text. In: Sarah EBLING, Don TUGGENER, Manuela HÜRLIMANN, Mark CIELIEBAK und Martin VOLK (Hrsg.), Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). Conference paper. CEUR Workshop Proceedings. Juni 2020
Büchi, Matthias, Malgorzata Anna Ulasik, Manuela Hürlimann, Fernando Benites de Azevedo e Souza, Pius von Däniken, and Mark Cieliebak. 2020. “ZHAW-InIT at GermEval 2020 Task 4 : Low-Resource Speech-to-Text.” Conference paper. In Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), edited by Sarah Ebling, Don Tuggener, Manuela Hürlimann, Mark Cieliebak, and Martin Volk. CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-21550.
Büchi, Matthias, et al. “ZHAW-InIT at GermEval 2020 Task 4 : Low-Resource Speech-to-Text.” Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), edited by Sarah Ebling et al., CEUR Workshop Proceedings, 2020, https://doi.org/10.21256/zhaw-21550.


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