Title :
Research on Lhasa Tibetan prosodic model of journalese based on respiratory signal
Author :
Guo, Shuni ; Gao, Lu ; Yu, Hongzhi
Author_Institution :
Inner Mongolia Univ. for Nat., Tongliao, China
Abstract :
In accordance with the actual development for Tibetan speech synthesis, the paper has taken news text as training corpora, analyzed the speech and prosodic features of Tibetan Lhasa dialect and confirmed the respiratory signal parameters with prosodic features. It has confirmed 6 classes of 39 dimensions context feature parameters in terms of previous prosodic structure analysis results. It uses RBF neural network to establish prosodic model and output 10 dimensions prosodic control parameters, and testing to know the predictable nature of the established model.
Keywords :
radial basis function networks; speech synthesis; Lhasa Tibetan prosodic model; RBF neural network; Tibetan speech synthesis; journalese; prosodic control parameter; prosodic structure analysis; radial basis function network; respiratory signal parameter; Analytical models; Context; Context modeling; Physiology; Rhythm; Speech; Training; Prosodic model; RBF; Tibetan Lhasa dialect; respiratory signal;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2011 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-61284-879-2
DOI :
10.1109/IASP.2011.6108991
