Dòng Nội dung
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Improving The Naturalness Of Concatenative Vietnamese Speech Synthesisis Under Limited Data Conditions / Phung Trung Nghia, Luong Mai Chi, Masato Akagi // Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics . - 2015. - P. 1-16. - ISSN:


16 p.
Ký hiệu phân loại (DDC): 410
Building a large speech corpus is a costly and time-consuming task. Therefore, how to build high—quality speech synthesis under limited data conditions is an important issue, specifically for under-resourced language like Vietnamese. As the most natural-soumiing speech synthesis is currently concatenative speech synthesis (CSS), it is the target speech synthesis under study in this research.
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