Automatic feedback on pronunciation and Anophone – a tool for L2 Czech annotation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F23%3A73620242" target="_blank" >RIV/61989592:15210/23:73620242 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14210/23:00132014
Result on the web
<a href="https://www.icphs2023.org/programme/proceedings" target="_blank" >https://www.icphs2023.org/programme/proceedings</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automatic feedback on pronunciation and Anophone – a tool for L2 Czech annotation
Original language description
This paper introduces a research project that represents an innovative approach to e-learning applications targeting automatic feedback on the pronunciation of non-native speakers based on computer speech recognition (specifically for Czech). We have collected data from 187 speakers of different pronunciation levels from 36 languages, conducted a pilot project, and developed the first version of an attributive annotation system based on tagging isolated speech sounds. We briefly mention the results of this stage (especially the success rate of the trained model), which led us to change our strategy and move to the next phase of the development of the automatic speech recognition tool. In this article, we present the current and next project phases: the Anophone annotation tool, a new annotation system based on whole-word tagging (two- to four-syllable words). The result is a measurable improvement in both the model and the success rate of speech recognition.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
60203 - Linguistics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 20th International Congress of Phonetic Sciences, Prague 2023
ISBN
978-80-908114-2-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
2721-2725
Publisher name
Guarant International
Place of publication
Prague
Event location
Prague Congress Center, Czech Republic
Event date
Aug 7, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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