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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

20th International Congress of Phonetic Sciences, Praha, 7. 8. 2023, 2023

Other information

Language

English

Type of outcome

Prezentace na konferencích

Field of Study

60203 Linguistics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14210/23:00132012

Organization unit

Faculty of Arts

Keywords in English

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

Tags

Tags

International impact, Reviewed
Změněno: 22/2/2024 16:11, doc. Mgr. Markéta Ziková, Ph.D.

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: theA nophone 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.