This paper describes an approach to syllabification that has been incorporated into the English and German text-to-speech systems at Bell Labs. Implemented as a weighted finite-state transducer, the syllabifier is easily integrated - via mathematical composition - into the finite-state based text analysis component of the text-to-speech system. The weights are based on frequencies of onset, nucleus and coda types obtained from training data. While the training data is language-dependent, the formal approach is multilingual.
Cite as: Kiraz, G.A., Möbius, B. (1998) Multilingual syllabification using weighted finite-state transducers. Proc. 3rd ESCA/COCOSDA Workshop on Speech Synthesis (SSW 3), 71-76
@inproceedings{kiraz98_ssw,
author={George Anton Kiraz and Bernd Möbius},
title={{Multilingual syllabification using weighted finite-state transducers}},
year=1998,
booktitle={Proc. 3rd ESCA/COCOSDA Workshop on Speech Synthesis (SSW 3)},
pages={71--76}
}