L2 Czech Annotation for Automatic Feedback on Pronunciation

HOLAJ, Richard and Petr POŘÍZKA. L2 Czech Annotation for Automatic Feedback on Pronunciation. In SLOVKO 2021 - NLP, Corpus Linguistics and Interdisciplinarity - October 13–15, 2021. 2021.

Basic information

Original name

L2 Czech Annotation for Automatic Feedback on Pronunciation

Authors

HOLAJ, Richard and Petr POŘÍZKA

Edition

SLOVKO 2021 - NLP, Corpus Linguistics and Interdisciplinarity - October 13–15, 2021, 2021

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Other information

Language

English

Type of outcome

Prezentace na konferencích

Field of Study

60203 Linguistics

Country of publisher

Slovakia

Confidentiality degree

není předmětem státního či obchodního tajemství

Organization unit

Faculty of Arts

Keywords in English

pronunciation; L2; Czech; machine learning; neural networks; e-learning; annotation; speech recognition; automatic feedback; phonetics

Tags

International impact, Reviewed

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Abstract

V originále

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.

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Links

MUNI/IGA/1225/2020, interní kód MU

Name: L2 pronunciation of Czech (linguistic annotation system) Investor: Masaryk University