Rule-based vs neural-network based approaches to letter-to-phone conversion for Portuguese common and proper names. Trancoso, I.; Viana, M. d. C.; Silva, F. M; Marques, G. C; and de Oliveira, L. C. In ICSLP 1994. Proceedings of the 3rd International Conference on Spoken Language Processing, pages 1767-1770, Yokohama, Japan, September 18-22, 1994.
Rule-based vs neural-network based approaches to letter-to-phone conversion for Portuguese common and proper names [link]Paper  abstract   bibtex   
This paper presents some relevant aspects of the pronunciation of proper names and common lexica in European Portuguese. It presents statistical data concerning the occurrence and distribution of graphemes and phonemes for the two corpora and distinguishes between different subclasses found in proper names, namely first and last names, toponyms and acronyms. It also compares the performance of a rule-based method for letter-to-phone conversion for the two corpora with two self-learning methods, one based on a multi-layered neural network and another base
@inproceedings{trancoso_rule-based_1994,
	Address = {Yokohama, Japan, September 18-22, 1994},
	Author = {Trancoso, Isabel and Viana, Maria do Céu and Silva, Fernando M and Marques, Gonçalo C and de Oliveira, Luís Caldas},
	Booktitle = {ICSLP 1994. Proceedings of the 3rd International Conference on Spoken Language Processing},
	Date = {1994},
	Date-Modified = {2016-09-24 18:56:16 +0000},
	File = {Attachment:files/11150/Trancoso et al. - 1994 - Rule-based vs neural-network based approaches to letter-to-phone conversion for Portuguese common and proper na.pdf:application/pdf},
	Keywords = {automatic phonetic transcription, phonetics, Portuguese, speech synthesis, speech technology, text-to-speech, transcription},
	Pages = {1767-1770},
	Title = {Rule-based vs neural-network based approaches to letter-to-phone conversion for Portuguese common and proper names},
	Url = {http://www.isca-speech.org/archive/icslp_1994/i94_1767.html},
	Abstract = {This paper presents some relevant aspects of the pronunciation of proper names and common lexica in European Portuguese. It presents statistical data concerning the occurrence and distribution of graphemes and phonemes for the two corpora and distinguishes between different subclasses found in proper names, namely first and last names, toponyms and acronyms. It also compares the performance of a rule-based method for letter-to-phone conversion for the two corpora with two self-learning methods, one based on a multi-layered neural network and another base},
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