Text processing for speech synthesis using parallel distributed models

Autor:	John N. Gowdy, M.S. Scordilis
Rok vydání:	2003
Předmět:	Text processing Artificial neural network Computer science Speech recognition Concurrent computing Speech synthesis Pronunciation User interface computer.software_genre Speech processing computer Natural language
Zdroj:	Proceedings. IEEE Energy and Information Technologies in the Southeast'.
DOI:	10.1109/secon.1989.132503
Popis:	A parallel distributed model is developed for the text-to-speech synthesis problem. This model includes a procedure which marks those incoming letters which are soundless, but which modify the pronunciation of their neighbors. Neural-network simulation results are presented, and it is shown that the larger the network the faster the learning rate, but also the greater the computational requirements. >
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::31a2b977c302ec4c14cd7ae75afa9f8c https://doi.org/10.1109/secon.1989.132503 Zobrazit plný text záznamu