Detail publikačního výsledku

Detection of Stress using Short-Time Energy Dispersion of Speech Signal

CÍCHA, J.; HORSKÝ, P.; HAISMAN, D.

Originální název

Detection of Stress using Short-Time Energy Dispersion of Speech Signal

Anglický název

Detection of Stress using Short-Time Energy Dispersion of Speech Signal

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

short-time energy; speech signal; speech under stress

Klíčová slova v angličtině

short-time energy; speech signal; speech under stress

Autoři

CÍCHA, J.; HORSKÝ, P.; HAISMAN, D.

Vydáno

29.04.2025

Nakladatel

BRNO UNIVERSITY OF TECHNOLOGY FACULTY OF ELECTRICAL ENGINEERING AND COMMUNICATION

Místo

Brno

ISBN

978-80-214-6320-2

Kniha

Proceedings II of the 31st Conference STUDENT EEICT 2025

Strany od

20

Strany do

22

Strany počet

3

URL

https://www.scopus.com/pages/publications/105012464999#

BibTex

@inproceedings{BUT201535,
  author="Jan {Cícha} and Pavel {Horský} and David {Haisman}",
  title="Detection of Stress using Short-Time Energy Dispersion of Speech Signal",
  booktitle="Proceedings II of the 31st Conference STUDENT EEICT 2025",
  year="2025",
  pages="3",
  publisher="BRNO UNIVERSITY OF TECHNOLOGY FACULTY OF ELECTRICAL ENGINEERING AND COMMUNICATION",
  address="Brno",
  isbn="978-80-214-6320-2",
  url="https://www.scopus.com/pages/publications/105012464999#"
}