Title: NEURAL NETWORK SYNTHESIZER OF PAUSE DURATION FOR MANDARINE TEXT-TO-SPEECH
Authors: HWANG, SH
CHEN, SH
電信工程研究所
電信研究中心
Institute of Communications Engineering
Center for Telecommunications Research
Keywords: SPEECH SYNTHESIS;SIGNAL PROCESSING;NEURAL NETWORKS
Issue Date: 9-Apr-1992
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.
URI: http://hdl.handle.net/11536/3453
ISSN: 0013-5194
Journal: ELECTRONICS LETTERS
Volume: 28
Issue: 8
Begin Page: 720
End Page: 721
Appears in Collections:Articles


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  1. A1992HP54300014.pdf