Context-Aware XGBoost for Glottal Closure Instant Detection in Speech Signal

dc.contributor.authorMatoušek, Jindřich
dc.contributor.authorVraštil, Michal
dc.date.accessioned2021-03-29T10:00:17Z
dc.date.available2021-03-29T10:00:17Z
dc.date.issued2020
dc.description.abstract-translatedIn this paper, we continue to investigate the use of classifiers for the automatic detection of glottal closure instants (GCIs) in the speech signal. We introduce context to extreme gradient boosting (XGBoost) and show that the context-aware XGBoost outperforms its context-free version. The proposed context-aware XGBoost is also shown to outperform traditionally used GCI detection algorithms on publicly available databases.en
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationMATOUŠEK, J. VRAŠTIL, M. Context-Aware XGBoost for Glottal Closure Instant Detection in Speech Signal. In: Text, Speech, and Dialogue 23rd International Conference, TSD 2020, Brno, Czech Republic, September 8-11, 2020, Proceedings. Cham: Springer, 2020. s. 446-455. ISBN 978-3-030-58322-4, ISSN 0302-9743.cs
dc.identifier.doi10.1007/978-3-030-58323-1_48
dc.identifier.isbn978-3-030-58322-4
dc.identifier.issn0302-9743
dc.identifier.obd43930361
dc.identifier.uri2-s2.0-85091187978
dc.identifier.urihttp://hdl.handle.net/11025/43119
dc.language.isoenen
dc.project.IDSGS-2019-027/Inteligentní metody strojového vnímání a porozumění 4cs
dc.project.IDGA19-19324S/Plně trénovatelná syntéza české řeči z textu s využitím hlubokých neuronových sítícs
dc.project.IDLM2018140/E-infrastruktura CZcs
dc.publisherSpringeren
dc.relation.ispartofseriesText, Speech, and Dialogue 23rd International Conference, TSD 2020, Brno, Czech Republic, September 8-11, 2020, Proceedingsen
dc.rightsPlný text není přístupný.cs
dc.rights© Springeren
dc.rights.accessclosedAccessen
dc.subject.translatedGlottal closure instant (GCI), Pitch mark, Detection, Classification,Extreme gradient boosting,Context-awarenessen
dc.titleContext-Aware XGBoost for Glottal Closure Instant Detection in Speech Signalen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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