標題: NEURAL NETWORK SYNTHESIZER OF PAUSE DURATION FOR MANDARINE TEXT-TO-SPEECH
作者: 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
關鍵字: SPEECH SYNTHESIS;SIGNAL PROCESSING;NEURAL NETWORKS
公開日期: 9-四月-1992
摘要: 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
期刊: ELECTRONICS LETTERS
Volume: 28
Issue: 8
起始頁: 720
結束頁: 721
顯示於類別:期刊論文


文件中的檔案:

  1. A1992HP54300014.pdf