DigiTala research project: Automatic speech recognition in assessing L2 speaking

Maria Kautonen, Anna von Zansen

Research output: Contribution to journalArticleProfessional


In this article, we discuss the premise of assessing oral language skills with the help of automatic speech recognition. We present the main goals and working methods in DigiTala project (2019–2023) – a research project between University of Helsinki, Aalto University and University of Jyväskylä that aims at developing a digital tool for assessing and practicing oral language skills. Ultimately, this digital tool would enable implementing tasks measuring oral skills into the language tests of the Matriculation Examination.
Translated title of the contributionDigiTala-tutkimushanke: Automaattinen puheentunnistus suullisen kielitaidon arvioinnissa
Original languageEnglish
JournalKieli, koulutus ja yhteiskunta : Kieliverkoston verkkolehti
Issue number4
Publication statusPublished - 10 Jun 2020
MoE publication typeD1 Article in a trade journal

Fields of Science

  • 516 Educational sciences
  • Oral Skills
  • language assessment
  • educational technology
  • automatic speech recognition
  • high-stakes
  • Matriculation examination

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