Title :
Research on HMM_based speech synthesis for Lhasa dialect
Author :
Lu, Gao ; Hongzhi, Yu ; Jinshuang, Zhang ; Huaping, Fang
Author_Institution :
Key Lab. of China´´s Nat. Linguistic Inf. Technol., Northwest Univ. for Nat., Lanzhou, China
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.
Keywords :
hidden Markov models; natural language processing; speech synthesis; HMM based speech synthesis; HTS 2.0 platform; Tibetan Lhasa dialect; context feature labeling; minority languages speech signal processing technologies; questionnaire design; synthesis corpus construction; Context; Hidden Markov models; High temperature superconductors; Labeling; Speech; Speech synthesis; Training; Data preparation; HTS; Speech synthesis; Tibetan; Training;
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.2011.6109077