We present here a trainable generative model of French prosody. We focus on the sentence level and design SNNs able to generate both rhythmic and intonation contours for diverse attitudes. First results of a perceptual test show that listeners are able to retrieve the right definition of attitudes by listening to synthetic PSOLA stimuli.
Cite as: Morlec, Y., Bailly, G., Auberge, V. (1997) Synthesising attitudes with global rhythmic and intonation contours. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 219-222, doi: 10.21437/Eurospeech.1997-82
@inproceedings{morlec97_eurospeech,
author={Yann Morlec and Gérard Bailly and Véronique Auberge},
title={{Synthesising attitudes with global rhythmic and intonation contours}},
year=1997,
booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
pages={219--222},
doi={10.21437/Eurospeech.1997-82}
}