In this paper, a rule-based automatic syllabifier for Danish is described using the Maximal Onset Principle. Prior success rates of rule-based methods applied to Portuguese and Catalan syllabification modules were on the basis of this work. The system was implemented and tested using a very small set of rules. The results gave rise to 96.9% and 98.7% of word accuracy rate, contrary to our initial expectations, being Danish a language with a complex syllabic structure and thus difficult to be rule-driven. Comparison with data-driven syllabification system using artificial neural networks showed a higher accuracy rate of the former system.
Cite as: Beck, J., Braga, D., Nogueira, J., Dias, M.S., Coelho, L. (2009) Automatic syllabification for danish text-to-speech systems. Proc. Interspeech 2009, 1287-1290, doi: 10.21437/Interspeech.2009-403
@inproceedings{beck09_interspeech,
author={Jeppe Beck and Daniela Braga and João Nogueira and Miguel Sales Dias and Luis Coelho},
title={{Automatic syllabification for danish text-to-speech systems}},
year=2009,
booktitle={Proc. Interspeech 2009},
pages={1287--1290},
doi={10.21437/Interspeech.2009-403}
}