Formant estimation of speech signals using subspace-based spectral analysis

dc.contributor.author	Καραμπέτσος, Σωτήριος Χ.	el
dc.contributor.author	Τσιάκουλης, Πύρρος	el
dc.contributor.author	Φωτεινέα, Εβίτα - Σταυρούλα	el
dc.contributor.author	Δολόγλου, Ιωάννης	el
dc.date.accessioned	2015-05-01T16:44:36Z
dc.date.available	2015-05-01T16:44:36Z
dc.date.issued	2015-05-01
dc.identifier.uri	http://hdl.handle.net/11400/9403
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.eurasip.org/Proceedings/Eusipco/Eusipco2006/papers/1568982300.pdf	el
dc.subject	Spectral analysis
dc.subject	Σήμα ομιλίας
dc.subject	Speech signal
dc.subject	Φασματική ανάλυση
dc.subject	Singular value decomposition
dc.subject	Ασυνήθης αποσύνθεση αξίας
dc.subject	Eigenanalysis
dc.title	Formant estimation of speech signals using subspace-based spectral analysis	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Electronics
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρονική
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	http://zbw.eu/stw/descriptor/10455-2
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρονική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2001008907
heal.language	en
heal.access	free
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Tμήμα Ηλεκτρονικών Μηχανικών Τ.Ε.	el
heal.publicationDate	2006-09
heal.bibliographicCitation	Karabetsos, S., Tsiakoulis, P., Fotinea, S.E. and Dologlou, I. (2006). Formant estimation of speech signals using subspace-based spectral analysis. 14th European Signal Processing Conference (EUSIPCO 2006), Florence, Italy, September 4-8, 2006.EURASIP. Available from: http://www.eurasip.org/Proceedings/Eusipco/Eusipco2006/papers/1568982300.pdf.	en
heal.abstract	The objective of this paper is to propose a signal processing scheme that employs subspace-based spectral analysis for the purpose of formant estimation of speech signals. Specifically, the scheme is based on decimative spectral estimation that uses Eigenanalysis and SVD (Singular Value Decomposition). The underlying model assumes a decomposition of the processed signal into complex damped sinusoids. In the case of formant tracking, the algorithm is applied on a small amount of the autocorrelation coefficients of a speech frame. The proposed scheme is evaluated on both artificial and real speech utterances from the TIMIT database. For the first case, comparative results to standard methods are provided which indicate that the proposed methodology successfully estimates formant trajectories.	en
heal.publisher	EURASIP	en
heal.fullTextAvailability	true
heal.conferenceName	14th European Signal Processing Conference (EUSIPCO 2006)	en
heal.conferenceItemType	full paper