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wav2vec2-based Speech Rating System for Children with Speech Sound Disorder., , , , , , , and . INTERSPEECH, page 3618-3622. ISCA, (2022)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)A pronunciation Scoring System Embedded into Children's Foreign Language Learning Games with Experimental Verification of Learning Benefits., , , , , , , , and . SLaTE, page 21-25. ISCA, (2023)Multilingual TTS Accent Impressions for Accented ASR., , , , , , , , and . TSD, volume 14102 of Lecture Notes in Computer Science, page 317-327. Springer, (2023)Investigating wav2vec2 context representations and the effects of fine-tuning, a case-study of a Finnish model., , , , and . INTERSPEECH, page 196-200. ISCA, (2023)Self-Supervised End-to-End ASR for Low Resource L2 Swedish., , , , and . Interspeech, page 1429-1433. ISCA, (2021)Multi-task wav2vec2 Serving as a Pronunciation Training System for Children., , , and . SLaTE, page 36-40. ISCA, (2023)New data, benchmark and baseline for L2 speaking assessment for low-resource languages., , , , , , , , , and 1 other author(s). SLaTE, page 166-170. ISCA, (2023)