Software Tool for Pronunciation Training of Specific English Terminology
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Software Tool for Pronunciation Training of Specific English Terminology
Original language description
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.
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
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
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 International Conference on New Trends in Signal Processing, NTSP 2022
ISBN
978-80-8040-610-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
Liptovský Mikuláš
Event location
Demanovská dolina
Event date
Oct 12, 2022
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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