Automatic Speaking Assessment of Spontaneous L2 Finnish and Swedish

Author:

Al-Ghezi Ragheb1ORCID,Voskoboinik Katja1,Getman Yaroslav1ORCID,Von Zansen Anna2ORCID,Kallio Heini3ORCID,Kurimo Mikko1ORCID,Huhta Ari3ORCID,Hildén Raili2ORCID

Affiliation:

1. Aalto University, Aalto, Finland

2. University of Helsinki, Aalto, Finland

3. University of Jyväskylä, Jyvaskyla, Finland

Funder

Academy of Finland

Publisher

Informa UK Limited

Subject

Linguistics and Language,Language and Linguistics

Reference74 articles.

1. Self-Supervised End-to-End ASR for Low Resource L2 Swedish

2. Automatic Rating of Spontaneous Speech for Low-Resource Languages

3. Ardila, R., Branson, M., Davis, K., Kohler, M., Meyer, J., Henretty, M., Morais, R., Saunders, L., Tyers, F., & Weber, G. (2020). Common voice: A massively-multilingual speech corpus. Proceedings of the 12th Language Resources and Evaluation Conference, 4218–4222. /https://aclanthology.org/2020.lrec-1.520.

4. Bachman, L. F., & Palmer, A. S. (2010). Language assessment in practice: Developing language assessments and justifying their use in the real world. Oxford University Press.

5. Baevski, A., Zhou, Y., Mohamed, A., & Auli, M. (2020). Wav2vec 2.0: A framework for self-supervised learning of speech representations. In H. Larochelle, M. Ranzato, R. Hadsell, M. Balcan, & H. Lin (Eds.), Advances in neural information processing systems (Vol. 33, pp. 12449–12460). Curran Associates, Inc. https://proceedings.neurips.cc/paper_files/paper/2020/file/92d1e1eb1cd6f9fba3227870bb6d7f07-Paper.pdf

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