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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gao Lu Yu Hongzhi Zhang Jinshuang Fang Huaping |
| Copyright Year | 2011 |
| Description | Author affiliation: Key Lab of China's National Linguistic Information Technology, Northwest University for Nationalities, Lanzhou, China (Gao Lu; Yu Hongzhi; Zhang Jinshuang; Fang Huaping) |
| Abstract | Based on HMM synthesis system, the paper has applied the principles into Tibetan Lhasa dialect, and completed HMM-based Lhasa speech synthesis system. This paper describes in detail the synthesis corpus construction, context feature labeling, questionnaire design and etc. as data preparations. Meanwhile, under the HTS2.0 platform, it also elaborates the training model and speech synthesis model in Tibetan speech synthesis to build a HMM-based speech synthesis system to realize the diversification of minority languages speech signal processing technologies. |
| Starting Page | 429 |
| Ending Page | 433 |
| File Size | 1564295 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781612848792 |
| e-ISBN | 9781612848815 |
| DOI | 10.1109/IASP.2011.6109077 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Context Data preparation Tibetan Hidden Markov models HTS Speech High temperature superconductors Speech synthesis Labeling |
| Content Type | Text |
| Resource Type | Article |
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