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@article{1807940, author = {Holaj, Richard and Pořízka, Petr}, article_number = {2}, doi = {http://dx.doi.org/10.2478/jazcas-2021-0047}, keywords = {pronunciation; L2; Czech; machine learning; neural networks; e-learning; annotation; speech recognition; automatic feedback; phonetics}, language = {eng}, issn = {0021-5597}, journal = {Jazykovedný časopis}, title = {L2 Czech Annotation for Automatic Feedback on Pronunciation}, url = {http://korpus.juls.savba.sk/attachments/slovko/Jazykovedny-casopis-2021-no2-SLOVKO_2.pdf}, volume = {72}, year = {2021} }
TY - JOUR ID - 1807940 AU - Holaj, Richard - Pořízka, Petr PY - 2021 TI - L2 Czech Annotation for Automatic Feedback on Pronunciation JF - Jazykovedný časopis VL - 72 IS - 2 SP - 510-519 EP - 510-519 SN - 00215597 KW - pronunciation KW - L2 KW - Czech KW - machine learning KW - neural networks KW - e-learning KW - annotation KW - speech recognition KW - automatic feedback KW - phonetics UR - http://korpus.juls.savba.sk/attachments/slovko/Jazykovedny-casopis-2021-no2-SLOVKO_2.pdf N2 - In this paper, we would like to provide a brief overview of the current state of pronunciation teaching in e-learning and demonstrate a new approach to building tools for automatic feedback concerning correct pronunciation based on the most frequent or typical errors in speech production made by non-native speakers. We will illustrate this in the process of designing annotation for a sound recognition tool to provide feedback on pronunciation. At the end of the paper, we will also present how we have tried to apply this annotation to the tool, what caveats we have found and what our plans are. ER -
HOLAJ, Richard a Petr POŘÍZKA. L2 Czech Annotation for Automatic Feedback on Pronunciation. \textit{Jazykovedný časopis}. 2021, roč.~72, č.~2, s.~510-519. ISSN~0021-5597. Dostupné z: https://dx.doi.org/10.2478/jazcas-2021-0047.
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