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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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    60203 - Linguistics

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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