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  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-27071
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dc.contributor.authorHürlimann, Manuela-
dc.contributor.authorGalbier, Jolanda-
dc.contributor.authorCieliebak, Mark-
dc.date.accessioned2023-02-17T10:19:19Z-
dc.date.available2023-02-17T10:19:19Z-
dc.date.issued2022-07-05-
dc.identifier.issn0926-4981de_CH
dc.identifier.issn1564-0094de_CH
dc.identifier.urihttps://ercim-news.ercim.eu/en130/special/speech-to-text-technology-for-hard-of-hearing-peoplede_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/27071-
dc.description.abstractHard-of-hearing people face challenges in daily interactions that involve spoken language, such as meetings or doctor’s visits. Automatic speech recognition technology can support them by providing a written transcript of the conversation. Pro Audito Schweiz, the Swiss federation of hard-of-hearing people, and the Centre for Artificial Intelligence (CAI) at the Zurich University of Applied Sciences (ZHAW) conducted a preliminary study into the use of Speech-to-Text (STT) for this target group. Our survey among the members of Pro Audito found that there is large interest in using automated solutions for better understanding in everyday situations. We now propose to take the next step and develop an application which uses ZHAW’s high-quality STT models.de_CH
dc.language.isoende_CH
dc.publisherEuropean Research Consortium for Informatics and Mathematicsde_CH
dc.relation.ispartofERCIM Newsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectNatural language processingde_CH
dc.subjectSpeech-to-textde_CH
dc.subjectAccessibilityde_CH
dc.subjectSchwerhörigkeitde_CH
dc.subject.ddc410.285: Computerlinguistikde_CH
dc.titleSpeech-to-text technology for hard-of-hearing peoplede_CH
dc.typeBeitrag in Magazin oder Zeitungde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitCentre for Artificial Intelligence (CAI)de_CH
dc.identifier.doi10.21256/zhaw-27071-
zhaw.funding.euNode_CH
zhaw.issue130de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end16de_CH
zhaw.pages.start15de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedNatural Language Processingde_CH
zhaw.webfeedZHAW digitalde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Hürlimann, M., Galbier, J., & Cieliebak, M. (2022). Speech-to-text technology for hard-of-hearing people. ERCIM News, 130, 15–16. https://doi.org/10.21256/zhaw-27071
Hürlimann, M., Galbier, J. and Cieliebak, M. (2022) ‘Speech-to-text technology for hard-of-hearing people’, ERCIM News, (130), pp. 15–16. Available at: https://doi.org/10.21256/zhaw-27071.
M. Hürlimann, J. Galbier, and M. Cieliebak, “Speech-to-text technology for hard-of-hearing people,” ERCIM News, no. 130, pp. 15–16, Jul. 2022, doi: 10.21256/zhaw-27071.
HÜRLIMANN, Manuela, Jolanda GALBIER und Mark CIELIEBAK, 2022. Speech-to-text technology for hard-of-hearing people. ERCIM News [online]. 5 Juli 2022. Nr. 130, S. 15–16. DOI 10.21256/zhaw-27071. Verfügbar unter: https://ercim-news.ercim.eu/en130/special/speech-to-text-technology-for-hard-of-hearing-people
Hürlimann, Manuela, Jolanda Galbier, and Mark Cieliebak. 2022. “Speech-to-Text Technology for Hard-of-Hearing People.” ERCIM News, no. 130 (July): 15–16. https://doi.org/10.21256/zhaw-27071.
Hürlimann, Manuela, et al. “Speech-to-Text Technology for Hard-of-Hearing People.” ERCIM News, no. 130, July 2022, pp. 15–16, https://doi.org/10.21256/zhaw-27071.


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