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

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but.event.date29.04.2025cs
but.event.titleSTUDENT EEICT 2025cs
dc.contributor.authorCícha, Jan
dc.contributor.authorHorský, Pavel
dc.contributor.authorHaisman, David
dc.date.accessioned2025-07-30T10:00:56Z
dc.date.available2025-07-30T10:00:56Z
dc.date.issued2025cs
dc.description.abstractOur 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. T he voiced parts of speech were extracted from continuous speech by means of center clipping algorithm with optimized parameters . The voiced parts provide better results.en
dc.formattextcs
dc.format.extent20-22cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 31st Conference STUDENT EEICT 2025: General papers. s. 20-22. ISBN 978-80-214-6321-9cs
dc.identifier.isbn978-80-214-6321-9
dc.identifier.urihttps://hdl.handle.net/11012/255269
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 31st Conference STUDENT EEICT 2025: General papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectspeech signalen
dc.subjectshort-time energyen
dc.subjectspeech under stressen
dc.titleDetection of Stress using Short-Time Energy Dispersion of Speech Signalen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs

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