Full metadata record
DC Field | Value | Language |
---|---|---|
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 | - |
Appears in Collections: | Articles |
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