Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10400.22/7635
Título: | Automatic syllabification for danish text-to-speech systems |
Autor: | Beck, Jeppe Braga, Daniela Nogueira, João Sales-Dias, Miguel Coelho, Luís |
Palavras-chave: | Automatic syllabification Rule-based techniques Artificial neural networks Text-to-speech |
Data: | 2009 |
Editora: | International Speech Communication Association |
Resumo: | 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. |
URI: | http://hdl.handle.net/10400.22/7635 |
ISBN: | 978-1-61567-692-7 |
Versão do Editor: | http://www.isca-speech.org/archive/interspeech_2009/i09_1287.html |
Aparece nas colecções: | ESEIG - FE - Comunicações em eventos científicos |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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COM_LuisCoelho_2009_3.pdf | 246,78 kB | Adobe PDF | Ver/Abrir Acesso Restrito. Solicitar cópia ao autor! |
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