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@proceedings{1807938,
author = {Holaj, Richard and Pořízka, Petr},
booktitle = {SLOVKO 2021 - NLP, Corpus Linguistics and Interdisciplinarity - October 13–15, 2021},
keywords = {pronunciation; L2; Czech; machine learning; neural networks; e-learning; annotation; speech recognition; automatic feedback; phonetics},
language = {eng},
title = {L2 Czech Annotation for Automatic Feedback on Pronunciation},
year = {2021}
}
TY - CONF
ID - 1807938
AU - Holaj, Richard - Pořízka, Petr
PY - 2021
TI - L2 Czech Annotation for Automatic Feedback on Pronunciation
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
N2 - In this talk, we 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 illustrate this in the process of designing annotation for a sound recognition tool to provide feedback on pronunciation. At the end we 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. In \textit{SLOVKO 2021 - NLP, Corpus Linguistics and Interdisciplinarity - October 13–15, 2021}. 2021.
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