Software Tool for Pronunciation Training of Specific English Terminology

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU146929" target="_blank" >RIV/00216305:26220/22:PU146929 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9920469" target="_blank" >https://ieeexplore.ieee.org/document/9920469</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/NTSP54843.2022.9920469" target="_blank" >10.23919/NTSP54843.2022.9920469</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Software Tool for Pronunciation Training of Specific English Terminology

Popis výsledku v původním jazyce

This paper describes a learning tool developed in MATLAB environment for training English pronunciation of specific terminology, focused on special vocabulary from signal processing and electronics by default. The tool enables to measure three phonetic parameters, namely accent, intonation and voicing. This is done using various computational methods and algorithms including basic filtering, short-time energy, average magnitude difference function or harmonic-to-noise ratio. Spoken words are compared with reference pronunciation in terms of phonetic parameters. Each parameter can be evaluated separately or all parameters together. The learner gets immediate feedback in two forms – percentage correctness of its pronunciation and verbal recommendation at which points to improve its pronunciation, supported by an indicative visual feedback in form of graphs showing each of the phonetic parameters along the spoken word.

Název v anglickém jazyce

Software Tool for Pronunciation Training of Specific English Terminology

Popis výsledku anglicky

This paper describes a learning tool developed in MATLAB environment for training English pronunciation of specific terminology, focused on special vocabulary from signal processing and electronics by default. The tool enables to measure three phonetic parameters, namely accent, intonation and voicing. This is done using various computational methods and algorithms including basic filtering, short-time energy, average magnitude difference function or harmonic-to-noise ratio. Spoken words are compared with reference pronunciation in terms of phonetic parameters. Each parameter can be evaluated separately or all parameters together. The learner gets immediate feedback in two forms – percentage correctness of its pronunciation and verbal recommendation at which points to improve its pronunciation, supported by an indicative visual feedback in form of graphs showing each of the phonetic parameters along the spoken word.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20202 - Communication engineering and systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the International Conference on New Trends in Signal Processing, NTSP 2022

ISBN

978-80-8040-610-3

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

IEEE

Místo vydání

Liptovský Mikuláš

Místo konání akce

Demanovská dolina

Datum konání akce

12. 10. 2022

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—