HMM-based Tibetan Lhasa speech synthesis system
Zhiqiang Wu, Hongzhi Yu, Guanyu Li, Wan Shuhui · 2013
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.