In this work, a slightly modified version of the original PaIntE model, based on an F0 parametrization with an especially designed approximation function, is considered. The model's parameters have been automatically optimized using a small set of Italian ToBI labeled sentences. This method, will drive our ongoing data-based approach to intonation modeling for Italian TTS. The quality of the model has been assessed by numerical measures and preliminary tests show quite promising results.
A Modified "PaIntE" Model for Italian TTS
Contributo in volume
IEEE, New York, USA
Proceedings of 2002 IEEE Workshop on Speech Syntesis, pp. 131–134. New York: IEEE, 2002