DocumentCode :
1280983
Title :
Improvement of the synthesised speech intonation with stylisation and neural network learning
Author :
Lee, Jung-Chul ; Sung, Koeng-Mo
Author_Institution :
Electron. & Telecommun. Res. Inst., Taejon, South Korea
Volume :
33
Issue :
19
fYear :
1997
fDate :
9/11/1997 12:00:00 AM
Firstpage :
1600
Lastpage :
1601
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 point intonation quality improvement compared to our previous model
Keywords :
learning (artificial intelligence); neural nets; speech synthesis; F0 contour generation model; global tune; intonation quality improvement; lexical tone; neural network learning; preconstructed melodic table; stylisation; syllabic pitch pattern; synthesised speech intonation; word pitch bias;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19971081
Filename :
629579
Link To Document :
بازگشت