Towards automatic measure of similarity for use in unit selection

Tihelka, Daniel

Full metadata record

DC pole	Hodnota	Jazyk
dc.contributor.author	Tihelka, Daniel
dc.date.accessioned	2015-12-11T13:17:11Z
dc.date.available	2015-12-11T13:17:11Z
dc.date.issued	2008
dc.identifier.citation	TIHELKA, Daniel. Towards automatic measure of similarity for use in unit selection. In: Proceedings of the 9th international conference on signal processing, ICSP '08, 26.10.2008 - 26.11.2008. 3rd ed. Beijing: IEEE Press, 2008, p. 637-642. ISBN 978-1-4244-2178-7.	en
dc.identifier.isbn	978-1-4244-2178-7
dc.identifier.uri	http://www.kky.zcu.cz/cs/publications/TihelkaD_2008_TowardsAutomatic
dc.identifier.uri	http://hdl.handle.net/11025/16975
dc.format	6 s.	cs
dc.format.mimetype	application/pdf
dc.language.iso	en	en
dc.publisher	IEEE Press	en
dc.rights	© Daniel Tihelka	cs
dc.subject	syntéza řeči	cs
dc.subject	prozodické vzory	cs
dc.subject	podobnost	cs
dc.title	Towards automatic measure of similarity for use in unit selection	en
dc.type	článek	cs
dc.type	article	en
dc.rights.access	openAccess	en
dc.type.version	publishedVersion	en
dc.description.abstract-translated	The paper focuses on the unit selection approach to speech synthesis, discussing drawbacks mainly related to the current handling of target features that basically results in the need of huge corpora. In the paper there are outlined possible solutions based on measuring (dis)similarity among prosodic patterns. In the initial experiment, trying to verify the feasibility of the proposed solution, the (dis)similarity of acoustic signal measured by different techniques is correlated to perceived similarity estimate obtained from a large-scale listening test.	en
dc.subject.translated	speech synthesis	en
dc.subject.translated	prosodic patterns	en
dc.subject.translated	similarity	en
dc.type.status	Peer-reviewed	en
Vyskytuje se v kolekcích:	Články / Articles (NTIS)

Soubory připojené k záznamu:

Soubor	Popis	Velikost	Formát
TihelkaD_2008_TowardsAutomatic.pdf	Plný text	97,55 kB	Adobe PDF	Zobrazit/otevřít

Zobrazit minimální záznam Zobrazit statistiky

Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/16975

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.

hledání

navigace