Unit selection for speech synthesis based on acoustic criteria

Authors:
Soufiane Rouibia;Olivier Rosec;Thierry Moudenc
Affiliations:
France Telecom, R&D Division, Lannion Cedex, France;France Telecom, R&D Division, Lannion Cedex, France;France Telecom, R&D Division, Lannion Cedex, France
Venue:
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
Year:
2005

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Abstract

This paper presents a new approach to unit selection for corpus-based speech synthesis, in which the units are selected according to acoustic criteria. In a training stage, an acoustic clustering is carried out using context dependent HMMs. In the synthesis stage, an acoustic target is generated and divided into segments corresponding to the required unit sequence. Then, the acoustic unit sequence that best matches the target is selected. Tests are carried out which show the relevance of the proposed method.