Title: Exploring automatic similarity measures for unit selection tuning
Authors: Tihelka, Daniel
Romportl, Jan
Citation: TIHELKA, 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.
Issue Date: 2009
Publisher: ISCA
Document type: článek
URI: http://www.kky.zcu.cz/cs/publications/TihelkaD_2009_ExploringAutomatic
ISSN: 1990-9772
Keywords: syntéza řeči;výběr jednotky;prozodické vzory;vnímaná podobnost
Keywords in different language: speech synthesis;unit selection;prosodic patterns;perceived similarity
Abstract in different language: The 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.
Rights: © Daniel Tihelka - Jan Romportl
Appears in Collections:Články / Articles (MMI)
Články / Articles (NTIS)

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