NEURAL NETWORK SYNTHESIZER OF PAUSE DURATION FOR MANDARINE TEXT-TO-SPEECH

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DC 欄位	值	語言
dc.contributor.author	HWANG, SH	en_US
dc.contributor.author	CHEN, SH	en_US
dc.date.accessioned	2014-12-08T15:04:56Z	-
dc.date.available	2014-12-08T15:04:56Z	-
dc.date.issued	1992-04-09	en_US
dc.identifier.issn	0013-5194	en_US
dc.identifier.uri	http://hdl.handle.net/11536/3453	-
dc.description.abstract	A neural network based approach of pause-duration synthesis for Mandarin text-to-speech is proposed. It uses an MLP to replace explicit synthesis rules for generating pause duration from input text. By properly training the MLP using a large set of utterances, phonological rules of producing pause duration are automatically learned. Experimental results confirmed that this is a promising approach.	en_US
dc.language.iso	en_US	en_US
dc.subject	SPEECH SYNTHESIS	en_US
dc.subject	SIGNAL PROCESSING	en_US
dc.subject	NEURAL NETWORKS	en_US
dc.title	NEURAL NETWORK SYNTHESIZER OF PAUSE DURATION FOR MANDARINE TEXT-TO-SPEECH	en_US
dc.type	Article	en_US
dc.identifier.journal	ELECTRONICS LETTERS	en_US
dc.citation.volume	28	en_US
dc.citation.issue	8	en_US
dc.citation.spage	720	en_US
dc.citation.epage	721	en_US
dc.contributor.department	電信工程研究所	zh_TW
dc.contributor.department	電信研究中心	zh_TW
dc.contributor.department	Institute of Communications Engineering	en_US
dc.contributor.department	Center for Telecommunications Research	en_US
dc.identifier.wosnumber	WOS:A1992HP54300014	-
dc.citation.woscount	2	-
顯示於類別：	期刊論文

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