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dc.contributor.authorTihelka, Daniel
dc.contributor.authorRomportl, Jan
dc.date.accessioned2015-12-11T13:06:45Z
dc.date.available2015-12-11T13:06:45Z
dc.date.issued2009
dc.identifier.citationTIHELKA, Daniel; ROMPORTL, Jan. Exploring automatic similarity measures for unit selection tuning. In: Proceedings of ICSPL 2009: 10th Annual Conference of the International Speech Communication Association 2009, 6-10 September 2009, Brighton, UK. [Baixas]: ISCA, 2009, p. 736-739. ISSN 1990-9772.en
dc.identifier.issn1990-9772
dc.identifier.urihttp://www.kky.zcu.cz/cs/publications/TihelkaD_2009_ExploringAutomatic
dc.identifier.urihttp://hdl.handle.net/11025/16974
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherISCAcs
dc.rights© Daniel Tihelka - Jan Romportlcs
dc.subjectsyntéza řečics
dc.subjectvýběr jednotkycs
dc.subjectprozodické vzorycs
dc.subjectvnímaná podobnostcs
dc.titleExploring automatic similarity measures for unit selection tuningen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe present paper focuses on the current handling of target features in the unit selection approach basically requiring huge corpora. In the paper there are outlined possible solutions based on measuring (dis)similarity among prosodic patterns. As the start of research, the feasibility of (dis)similarity estimation is examined on several intuitively chosen measures of acoustic signal which are correlated to perceived similarity obtained from a large-scale listening test.en
dc.subject.translatedspeech synthesisen
dc.subject.translatedunit selectionen
dc.subject.translatedprosodic patternsen
dc.subject.translatedperceived similarityen
dc.type.statusPeer-revieweden
Appears in Collections:Články / Articles (MMI)
Články / Articles (NTIS)

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