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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Beck, J., Daniela Braga, Nogueira, J., Dias, J., Luis Pinto Coelho, Daniela Braga...Luis Pinto Coelho (2009). Automatic syllabification for Danish text-to-speech systems. In Proceedings of Interspeech 2009. (pp. 1287-1290). --
Exportar Referência (IEEE) 
B. J. et al.,  "Automatic syllabification for Danish text-to-speech systems", in Proc. of Interspeech 2009, --, 2009, pp. 1287-1290
Exportar BibTeX 
@inproceedings{j.2009_1716155785215,
	author = "Beck, J. and Daniela Braga and Nogueira, J. and Dias, J. and Luis Pinto Coelho and Daniela Braga and Dias, L. and Luis Pinto Coelho",
	title = "Automatic syllabification for Danish text-to-speech systems",
	booktitle = "Proceedings of Interspeech 2009",
	year = "2009",
	editor = "",
	volume = "",
	number = "",
	series = "",
	pages = "1287-1290",
	publisher = "",
	address = "--",
	organization = "",
	url = "https://www.isca-speech.org/archive/interspeech_2009/index.html"
}
Exportar RIS 
TY  - CPAPER
TI  - Automatic syllabification for Danish text-to-speech systems
T2  - Proceedings of Interspeech 2009
AU  - Beck, J.
AU  - Daniela Braga
AU  - Nogueira, J.
AU  - Dias, J.
AU  - Luis Pinto Coelho
AU  - Daniela Braga
AU  - Dias, L.
AU  - Luis Pinto Coelho
PY  - 2009
SP  - 1287-1290
CY  - --
UR  - https://www.isca-speech.org/archive/interspeech_2009/index.html
AB  - 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. 

Index Terms: automatic syllabification, rule-based techniques, artificial neural networks, text-to-speech 

Beck, J., Braga, D., Nogueira, J., Coelho, L. and Dias, M. (2009). “Automatic Syllabification for Danish Text-to-Speech Systems”, in Proceedings of Interspeech 2009, September 6-10, Brighton, United Kingdom. 2009.
https://www.isca-speech.org/archive/archive_papers/interspeech_2009/papers/i09_1287.pdf

https://www.isca-speech.org/archive/interspeech_2009/index.html



ER  -