Automatic feedback on pronunciation and Anophone : a tool for
L2 Czech annotation

D 2023

Automatic feedback on pronunciation and Anophone : a tool for L2 Czech annotation

HOLAJ, Richard and Petr POŘÍZKA

Basic information

Original name

Automatic feedback on pronunciation and Anophone : a tool for L2 Czech annotation

Authors

HOLAJ, Richard (203 Czech Republic, guarantor, belonging to the institution) and Petr POŘÍZKA (203 Czech Republic)

Edition

Prague, Proceedings of the 20th International Congress of Phonetic Sciences, Prague 2023, p. 2721-2725, 5 pp. 2023

Publisher

Guarant International

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

60203 Linguistics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL URL

RIV identification code

RIV/00216224:14210/23:00132014

Organization unit

Faculty of Arts

ISBN

978-80-908114-2-3

Keywords in English

automatic feedback on pronunciation; speech recognition; annotation; Czech; e-learning

Abstract

V originále

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.

Citovat

HOLAJ, Richard and Petr POŘÍZKA. Automatic feedback on pronunciation and Anophone : a tool for L2 Czech annotation. Online. In Skarnitzl, Radek; Volín, Jan. Proceedings of the 20th International Congress of Phonetic Sciences, Prague 2023. Prague: Guarant International, 2023, p. 2721-2725. ISBN 978-80-908114-2-3.

@inproceedings{2329207,
   author = {Holaj, Richard and Pořízka, Petr},
   address = {Prague},
   booktitle = {Proceedings of the 20th International Congress of Phonetic Sciences, Prague 2023},
   editor = {Skarnitzl, Radek; Volín, Jan},
   keywords = {automatic feedback on pronunciation; speech recognition; annotation; Czech; e-learning},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Prague},
   isbn = {978-80-908114-2-3},
   pages = {2721-2725},
   publisher = {Guarant International},
   title = {Automatic feedback on pronunciation and Anophone : a tool for L2 Czech annotation},
   url = {https://guarant.cz/icphs2023/922.pdf},
   year = {2023}
}

TY  - JOUR
ID  - 2329207
AU  - Holaj, Richard - Pořízka, Petr
PY  - 2023
TI  - Automatic feedback on pronunciation and Anophone : a tool for L2 Czech annotation
PB  - Guarant International
CY  - Prague
SN  - 9788090811423
KW  - automatic feedback on pronunciation
KW  - speech recognition
KW  - annotation
KW  - Czech
KW  - e-learning
UR  - https://guarant.cz/icphs2023/922.pdf
N2  - 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.
ER  -

HOLAJ, Richard and Petr POŘÍZKA. Automatic feedback on pronunciation and Anophone : a tool for L2 Czech annotation. Online. In Skarnitzl, Radek; Volín, Jan. \textit{Proceedings of the 20th International Congress of Phonetic Sciences, Prague 2023}. Prague: Guarant International, 2023, p.~2721-2725. ISBN~978-80-908114-2-3.

Detailed Information on Publication Record