HMM-based Tibetan Lhasa Speech Synthesis System

被引：0
|
作者：
Wu Zhiqiang [1 ]
Yu Hongzhi [1 ]
Li Guanyu [1 ]
Wan Shuhui [1 ]
机构：
[1] Northwest Univ Nationalities, Key Lab Chinas Natl Linguist Informat Technol, Lanzhou, Peoples R China
来源：
2013 3RD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT) | 2013年
关键词：
speech synthesis; Tibetan; hidden Markov model; synthesis by parametric modeling;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
According to the pronunciation characteristics of Tibetan Lhasa dialect, this design realizes the Tibetan Hidden Markov Model(HMM) parametric speech synthesis system. At first, we prepare data from several aspects, such as text design and recording, speech segmentation, tagging, problem sets. Then we built the Tibetan Lhasa dialect pronunciation training model and synthetic speech sound by using MLSA speech synthesizer. Finally we evaluate the quality of synthetic by using the methods of mean opinion score (MOS), the evaluation results show that the mean opinion score (MOS) was around 3.2 which basically achieve the anticipated design effect.
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页码：92 / 95
页数：4
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