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https://doi.org/10.21256/zhaw-27071| Publikationstyp: | Beitrag in Magazin oder Zeitung |
| Titel: | Speech-to-text technology for hard-of-hearing people |
| Autor/-in: | Hürlimann, Manuela Galbier, Jolanda Cieliebak, Mark |
| et. al: | No |
| DOI: | 10.21256/zhaw-27071 |
| Erschienen in: | ERCIM News |
| Heft: | 130 |
| Seite(n): | 15 |
| Seiten bis: | 16 |
| Erscheinungsdatum: | 5-Jul-2022 |
| Verlag / Hrsg. Institution: | European Research Consortium for Informatics and Mathematics |
| ISSN: | 0926-4981 1564-0094 |
| Sprache: | Englisch |
| Schlagwörter: | Natural language processing; Speech-to-text; Accessibility; Schwerhörigkeit |
| Fachgebiet (DDC): | 410.285: Computerlinguistik |
| Zusammenfassung: | Hard-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. |
| URI: | https://ercim-news.ercim.eu/en130/special/speech-to-text-technology-for-hard-of-hearing-people https://digitalcollection.zhaw.ch/handle/11475/27071 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | School of Engineering |
| Organisationseinheit: | Centre for Artificial Intelligence (CAI) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2022_Huerlimann-etal_Speech-to-text-technology-hard-of-hearing-people_ERCIM.pdf | 319.85 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
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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