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