Towards expressive speech synthesis

dc.contributor.author	Ράπτης, Σπύρος	el
dc.contributor.author	Καραμπέτσος, Σωτήριος Χ.	el
dc.contributor.author	Χαλαμανδάρης, Αιμίλιος	el
dc.contributor.author	Τσιάκουλης, Πύρρος	el
dc.date.accessioned	2015-06-07T18:57:05Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15529
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://ieeexplore.ieee.org/	en
dc.subject	acoustic analysis
dc.subject	emotion classification
dc.subject	emotional speech
dc.subject	expressive speech
dc.subject	Speech synthesis
dc.subject	Text to Speech
dc.subject	ακουστική ανάλυση
dc.subject	συναισθηματική ομιλία
dc.subject	εκφραστική ομιλία
dc.subject	σύνθεση ομιλίας
dc.subject	Κείμενο σε ομιλία
dc.title	Towards expressive speech synthesis	en
heal.type	conferenceItem
heal.secondaryTitle	analysis and modeling of expressive speech	en
heal.classification	Technology
heal.classification	Electrical engineering
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρολογία Μηχανολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/18426-4
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρολογία Μηχανολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85126453
heal.identifier.secondary	DOI: 10.1109/CogInfoCom.2014.7020500
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.publicationDate	2015-01-23
heal.bibliographicCitation	Raptis, S., Karabetsos, S.H., Chalamandaris, A. & Tsiakoulis, P. (2015) Towards expressive speech synthesis: analysis and modeling of expressive speech, In: Proceedings of the 5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014. Vietri sul Mare, Italy. 5-7 November, 2014. [online]. p. 461-465. Available from: http://ieeexplore.ieee.org/	en
heal.abstract	Emotion-aware computing presents one of the main challenges in contemporary natural human interaction research, with natural expressive speech synthesis being one of its next significant milestones. This paper describes ongoing work on developing a generalized framework for annotating, analyzing and modeling expressive speech in a data driven approach, towards building expressive text to speech synthesis systems. To this end, the data driven methodology is described, comprised of the acoustic analysis and expression clustering together with an online environment for speech perception and annotation. Preliminary results are also given, providing encouraging indications for further research.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	false
heal.conferenceName	5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014	en
heal.conferenceItemType	poster