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Care for Context: Evaluating Speech-to-Text and Translation Services for 24h Live-In Care Communication

  • Salzburg University of Applied Sciences

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Abstract. Background: The 24h live-in care sector relies on Eastern European
workers and multilingual communication. Objectives: The aim was to select the
best AI-based language services for a 24h care communication app under real
deployment constraints. Methods: A scenario-based quality comparison for
transcription, translation, and their cascaded pipeline, and an analysis of the risks
and harmfulness for the specific application context were performed. Results:
Chirp2 and DeepL showed the best quality. We balanced quality with latency and
detected the presence of potentially harmful meaning shifts. Conclusion: Domaingrounded evaluation provides a solid base for informed engineering decisions, but
considering constraints and risks is necessary for end-to-end safety in deployment.
Original languageEnglish
Title of host publicationProceedings of the 20th Health Informatics Meets Digital Health Conference
EditorsGünter Schreier, Martin Baumgartner, Dieter Haydn, Bernhard Pfeifer
PublisherIOS Press BV
Volume20
ISBN (Electronic)978-1-64368-660-8
DOIs
Publication statusPublished - 12 May 2026
EventdHealth 2026: 20th Annual Conference on Health Informatics meets Digital Health - Apothekertrakt / Schönbrunn Palace, Vienna, Austria
Duration: 12 May 202613 May 2026
https://dhealth.at/

Publication series

NameStudies in Health Technology and Informatics
Volume335
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

ConferencedHealth 2026
Country/TerritoryAustria
CityVienna
Period12/05/2613/05/26
Internet address

Keywords

  • Home Care Services
  • Communication Barriers
  • Speech Recognition Software
  • Translations
  • Health Informatics
  • Benchmarking
  • Patient Safety
  • Ambient Assisted Living

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