Detection of Stress using Short-Time Energy Dispersion of Speech Signal
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0201535" target="_blank" >RIV/00216305:26220/26:0201535 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/pages/publications/105012464999#" target="_blank" >https://www.scopus.com/pages/publications/105012464999#</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detection of Stress using Short-Time Energy Dispersion of Speech Signal
Original language description
Our research shows that it is possible to identify stress from a speech signal using energy factors. The proposed method is based on the dispersion of short-time signal energy. The results obtained for full speech and voiced speech are presented. The voiced parts of speech were extracted from continuous speech by means of center clipping algorithm with optimized parameters. The voiced parts provide better results. © 2025, Brno University of Technology. All rights reserved.
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
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
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 II of the 31st Conference STUDENT EEICT 2025
ISBN
978-80-214-6320-2
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
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Publisher name
BRNO UNIVERSITY OF TECHNOLOGY FACULTY OF ELECTRICAL ENGINEERING AND COMMUNICATION
Place of publication
Brno
Event location
Brno
Event date
Apr 29, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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