This study proposes a novel approach based on Bayesian networks and the LSP frequencies to generate syllable prosody and the coarticulation between two concatenated syllables respectively. The Bayesian network is employed to model the relation between the prosodic information and the linguistic features. Given a Chinese character sequence, the Bayesian network can provide appropriate prosodic information, including pitch contour, syllable intensity, syllable duration and pause duration. Furthermore, the coarticulation is generated by adjusting the LSP frequencies in a CELP-based synthesizer. The synthesized speech is tested on twenty subjects. The test results indicate that the average correct rate is 95.8% for intelligibility, and the mean opinion score (MOS) is 3.2 for naturalness.
|出版狀態||Published - 1996 12月 1|
|事件||Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust|
持續時間: 1996 11月 26 → 1996 11月 29
|Other||Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)|
|期間||96-11-26 → 96-11-29|
All Science Journal Classification (ASJC) codes