10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

Exploring Automatic Similarity Measures for Unit Selection Tuning

Daniel Tihelka (1), Jan Romportl (2)

(1) University of West Bohemia in Pilsen, Czech Republic
(2) SpeechTech s.r.o., Czech Republic

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.

Full Paper

Bibliographic reference.  Tihelka, Daniel / Romportl, Jan (2009): "Exploring automatic similarity measures for unit selection tuning", In INTERSPEECH-2009, 736-739.