Detailed Information on Publication Record
2021
L2 Czech Annotation for Automatic Feedback on Pronunciation
HOLAJ, Richard and Petr POŘÍZKABasic information
Original name
L2 Czech Annotation for Automatic Feedback on Pronunciation
Authors
HOLAJ, Richard (203 Czech Republic, guarantor, belonging to the institution) and Petr POŘÍZKA (203 Czech Republic)
Edition
Jazykovedný časopis, 2021, 0021-5597
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
60203 Linguistics
Country of publisher
Slovakia
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/00216224:14210/21:00125084
Organization unit
Faculty of Arts
Keywords in English
pronunciation; L2; Czech; machine learning; neural networks; e-learning; annotation; speech recognition; automatic feedback; phonetics
Tags
Tags
International impact, Reviewed
Změněno: 31/1/2023 11:00, doc. Mgr. Markéta Ziková, Ph.D.
Abstract
V originále
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.
Links
| MUNI/IGA/1225/2020, interní kód MU |
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