L2 Czech Annotation for Automatic Feedback on Pronunciation
| Authors | |
|---|---|
| Year of publication | 2021 |
| Type | Article in Periodical |
| Magazine / Source | Jazykovedný časopis |
| MU Faculty or unit | |
| Citation | |
| web | http://korpus.juls.savba.sk/attachments/slovko/Jazykovedny-casopis-2021-no2-SLOVKO_2.pdf |
| 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 |
| Description | 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. |
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