DocumentCode
849383
Title
Predication of prosodic data in Persian text-to-speech
Author
Farrokhi, A. ; Ghaemmaghami, S.
Author_Institution
Electr. Eng. Dept., Azad Univ., Tehran, Iran
Volume
39
Issue
25
fYear
2003
Firstpage
1868
Lastpage
1869
Abstract
A simplified four-layer recurrent neural network (RNN)
Keywords
learning (artificial intelligence); multilayer perceptrons; speech synthesis; Persian text-to-speech systems; automatic segmentation; energy contour; four-layer recurrent neural network; natural sounding; onset time; pause duration; phonological states; pitch contours; prosodic data predication; prosodic information generator; prosodic parameters; root mean square error; speech synthesis; syllable length; syllable level; tang-sigmoid function; training function; vowel length; word level;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20031151
Filename
1255764
Link To Document