Abstract
One important goal of TTS system is to generate natural-sounding synthesized voice. To meet the goal, a variety of tasks are performed to model the prosodic aspects of TTS voice. The task being discussed here is POS and Intonation tagging. The paper examines the effects of POS and Intonation information on the naturalness of a hidden Markov model (HMM) based speech when other resources are not available. It is discovered that, when a limited feature set is used for HMM context labels, the POS and Intonation tags improve the naturalness of the synthesized voice.
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Phan, T.S., Dinh, A.T., Vu, T.T., Luong, C.M. (2014). An Improvement of Prosodic Characteristics in Vietnamese Text to Speech System. In: Huynh, V., Denoeux, T., Tran, D., Le, A., Pham, S. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-02741-8_10
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DOI: https://doi.org/10.1007/978-3-319-02741-8_10
Publisher Name: Springer, Cham
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