D1 Article in a trade journal
DigiTala research project : automatic speech recognition in assessing L2 speaking (2020)

Kautonen, M., & von Zansen, A. (2020). DigiTala research project : automatic speech recognition in assessing L2 speaking. Kieli, koulutus ja yhteiskunta, 11(4). https://www.kieliverkosto.fi/fi/journals/kieli-koulutus-ja-yhteiskunta-kesakuu-2020/digitala-research-project-automatic-speech-recognition-in-assessing-l2-speaking

JYU authors or editors

Publication details

All authors or editors: Kautonen, Maria; von Zansen, Anna

Journal or series: Kieli, koulutus ja yhteiskunta

eISSN: 1799-0181

Publication year: 2020

Volume: 11

Issue number: 4

Publisher: Soveltavan kielentutkimuksen keskus, Jyväskylän yliopisto; Kielikoulutuspolitiikan verkosto

Place of Publication: Jyväskylä

Publication country: Finland

Publication language: English

Persistent website address: https://www.kieliverkosto.fi/fi/journals/kieli-koulutus-ja-yhteiskunta-kesakuu-2020/digitala-research-project-automatic-speech-recognition-in-assessing-l2-speaking

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/70906

Abstract

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.

Keywords: speech recognition; oral language skills; language skills; evaluation; matriculation examination (degrees); language tests

Free keywords: computer-assisted testing

Contributing organizations

Related projects

Ministry reporting: Yes

Reporting Year: 2020