Title:	Context-Aware XGBoost for Glottal Closure Instant Detection in Speech Signal
Authors:	Matoušek, Jindřich Vraštil, Michal
Citation:	MATOUŠEK, 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.
Issue Date:	2020
Publisher:	Springer
Document type:	konferenční příspěvek conferenceObject
URI:	2-s2.0-85091187978 http://hdl.handle.net/11025/43119
ISBN:	978-3-030-58322-4
ISSN:	0302-9743
Keywords in different language:	Glottal closure instant (GCI), Pitch mark, Detection, Classification,Extreme gradient boosting,Context-awareness
Abstract in different language:	In 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.
Rights:	Plný text není přístupný. © Springer
Appears in Collections:	Konferenční příspěvky / Conference papers (NTIS) Konferenční příspěvky / Conference Papers (KKY) OBD

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