Abstract
Synthesizing Vietnamese tone plays an important role in Vietnamese text-to-speech systems. To accomplish this, the first important step is to determine the pitch-markers of voice utterances and this technique is still an open issue. In this paper, we propose a simple and efficient algorithm that locates the pitch-markers at the peaks of the cumulative signal of each voiced part of the input utterance. The experimentation has shown that the proposed algorithm presents pitch-markers with high accuracy and based on this obtained result, we have already synthesized Vietnamese complex tones such as the drop and the broken tones for isolated syllables with clear hearing.
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Ta, T.Y., Van Nguyen, H., Van Dao, T., Ngo, H.H., Sergey, A. (2018). An Effective Algorithm for Determining Pitch Markers of Vietnamese Speech Sentences. In: Huang, T., Lv, J., Sun, C., Tuzikov, A. (eds) Advances in Neural Networks – ISNN 2018. ISNN 2018. Lecture Notes in Computer Science(), vol 10878. Springer, Cham. https://doi.org/10.1007/978-3-319-92537-0_72
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DOI: https://doi.org/10.1007/978-3-319-92537-0_72
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