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Abstract
The development of large multilingual speech models provides the possibility to construct high-quality speech technology even for low-resource languages. In this paper, we present the speech data of L2 learners of Finnish and Finland Swedish that we have recently collected for training and evaluation of automatic speech recognition (ASR) and speaking assessment (ASA). It includes over 4000 recordings by over 300 students per language in short read-aloud and free-form tasks. The recordings have been manually transcribed and assessed for pronunciation, fluency, range, accuracy, task achievement, and a holistic proficiency level. We present also an ASR and ASA benchmarking setup we have constructed using this data and include results from our baseline systems built by fine-tuning self-supervised multilingual model for the target language. In addition to benchmarking, our baseline system can be used by L2 students and teachers for online self-training and evaluation of oral proficiency.
Original language | English |
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Title of host publication | Proceedings of 9th Workshop on Speech and Language Technology in Education (SLaTE) |
Publisher | International Speech Communication Association (ISCA) |
Pages | 166-170 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2023 |
MoE publication type | A4 Conference publication |
Event | Workshop on Speech and Language Technology in Education - Dublin, Ireland Duration: 18 Aug 2023 → 20 Aug 2023 |
Publication series
Name | ISCA International Workshop on Speech and Language Technology in Education |
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ISSN (Electronic) | 2311-4975 |
Workshop
Workshop | Workshop on Speech and Language Technology in Education |
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Abbreviated title | SLaTE |
Country/Territory | Ireland |
City | Dublin |
Period | 18/08/2023 → 20/08/2023 |
Keywords
- Educational sciences
- suullinen kielitaito
- kielitaidon arviointi
- oral language skills
- language assessment
- Electronic
- automation and communications engineering
- electronics
- puheentunnistus
- automaattinen puheen arviointi
- automatic speech recognition
- automatic speaking assessment
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- 1 Finished
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DigiTala: Aka-Digi Tala
Kurimo, M. (Principal investigator), Getman, Y. (Project Member), Voskoboinik, E. (Project Member) & Al-Ghezi, R. (Project Member)
01/01/2020 → 31/08/2023
Project: Academy of Finland: Other research funding