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Inferring missing metadata from environmental policy texts.

, , , , , , and . LaTeCH@NAACL-HLT, page 46-51. Association for Computational Linguistics, (2019)

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Self-Supervised End-to-End ASR for Low Resource L2 Swedish., , , , and . Interspeech, page 1429-1433. ISCA, (2021)Multilingual TTS Accent Impressions for Accented ASR., , , , , , , , and . TSD, volume 14102 of Lecture Notes in Computer Science, page 317-327. Springer, (2023)Inferring missing metadata from environmental policy texts., , , , , , and . LaTeCH@NAACL-HLT, page 46-51. Association for Computational Linguistics, (2019)Automatic Rating of Spontaneous Speech for Low-Resource Languages., , , , and . SLT, page 339-345. IEEE, (2022)wav2vec2-based Speech Rating System for Children with Speech Sound Disorder., , , , , , , and . INTERSPEECH, page 3618-3622. ISCA, (2022)Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children., , , , , , , , , and 2 other author(s). IEEE Access, (2023)Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks., , , , , , , , , and . Lang. Resour. Evaluation, 57 (3): 1295-1327 (September 2023)