Advanced Estimation Of Speech Signal Periodicity

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but.event.date23.04.2020cs
but.event.titleStudent EEICT 2020cs
dc.contributor.authorMalucha, Jan
dc.date.accessioned2021-07-15T13:12:37Z
dc.date.available2021-07-15T13:12:37Z
dc.date.issued2020cs
dc.description.abstractThis study examined the use of methods for advanced estimation of speech signal periodicity. The speech parameters of jitter, schimmer and short time period similarity were briefly explained as well as their estimation with appropriate methods, all of them integrated into a compact MATLAB program. The practical use of the program was demonstrated on the analysis of a stressed and neutral speech signal and achieved results were presented at the end of the study.en
dc.formattextcs
dc.format.extent40-43cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 26st Conference STUDENT EEICT 2020: Selected Papers. s. 40-43. ISBN 978-80-214-5868-0cs
dc.identifier.isbn978-80-214-5868-0
dc.identifier.urihttp://hdl.handle.net/11012/200615
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 26st Conference STUDENT EEICT 2020: Selected papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/EEICT2020cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectspeech signalen
dc.subjectperiodicityen
dc.subjectstressed voiceen
dc.titleAdvanced Estimation Of Speech Signal Periodicityen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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