IMPROVEMENT OF THE SYNTHESIZED SPEECH INTONATION WITH STYLISATION ANDNEURAL-NETWORK LEARNING

Authors
Citation
Jc. Lee et Km. Sung, IMPROVEMENT OF THE SYNTHESIZED SPEECH INTONATION WITH STYLISATION ANDNEURAL-NETWORK LEARNING, Electronics Letters, 33(19), 1997, pp. 1600-1601
Citations number
6
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
ISSN journal
00135194
Volume
33
Issue
19
Year of publication
1997
Pages
1600 - 1601
Database
ISI
SICI code
0013-5194(1997)33:19<1600:IOTSSI>2.0.ZU;2-L
Abstract
A new F0 contour generation model with stylisation and neural network learning is proposed. Our F0 contour consists of (i) global tune, (ii) word pitch bias, (iii) lexical tone, and (iv) syllabic pitch pattern. A preconstructed melodic table takes care of (i), (ii) and (iv) while a neural network deals with (iii). A 5-level subject test shows 0.5 p oint intonation quality improvement compared to our previous model.