L2 Czech annotation for automatic feedback on pronunciation
L2 Czech annotation for automatic feedback on pronunciation
Author(s): Richard Holaj, Petr PořízkaSubject(s): Language and Literature Studies, Applied Linguistics
Published by: Jazykovedný ústav Ľudovíta Štúra Slovenskej akadémie vied
Keywords: pronunciation; L2; Czech; machine learning; neural networks; e-learning; annotation; speech recognition; automatic feedback;phonetics;
Summary/Abstract: 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.
Journal: Jazykovedný časopis
- Issue Year: 72/2021
- Issue No: 2
- Page Range: 510-519
- Page Count: 10
- Language: English