Revising parameters for predicting L2 speech fluency and proficiency
Kallio, H., & Kuronen, M. (2023). Revising parameters for predicting L2 speech fluency and proficiency. In R. Skarnitzl, & J. Volín (Eds.), Proceedings of the 20th International Congress of Phonetic Sciences (ICPhS 2023) (pp. 2452-2456). Guarant International. Proceedings of the International Congress of Phonetic Sciences. https://drive.google.com/file/d/15U2l2y4_-9lyZAgmiccQYXYj9zBi_CAu/
© Authors 2023
The aim of the study was to investigate whether integrating parameters based on pause location improve the prediction of fluency and proficiency in L2 Finnish monologic speech. To answer this question, multiple linear regression models were fitted using two data sets containing L2 Finnish speech and expert assessments of fluency and oral proficiency. Separate models were derived for fluency and proficiency using combined data as well as the two separate data sets. The comparison of the models indicate that pause-by-location parameters can improve the prediction of L2 fluency and proficiency, but the relevant parameters and their significance in the regression models depend on the speech data. Parameters with low incidence work only in longer speech samples, while parameters with frequent occurrence can be used even in shorter samples. The results have implications for improving automatic assessment of L2 speech especially in low-resource languages.
Parent publication ISBN978-80-908114-2-3
ConferenceInternational Congress of Phonetic Sciences
Is part of publicationProceedings of the 20th International Congress of Phonetic Sciences (ICPhS 2023)
Publication in research information system
MetadataShow full item record
Related funder(s)Academy of Finland
Funding program(s)Academy Project, AoF
Additional information about fundingThe DigiTala project is funded by the Academy of Finland and the research consortium includes University of Helsinki (grant number 322619), Aalto University (grant number 322625), and University of Jyväskylä (grant number 322965).
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