%0 Journal Article
%T Extracting MFCC, F0 feature in Vietnamese HMMbased speech synthesis
%A Son Thanh Phan
%A Thang Tat Vu
%A Mai Chi Luong
%J International Journal of Electronics and Computer Science Engineering
%D 2013
%I Buldanshahr : IJECSE
%X HMM-based statistical speech synthesis method is not requiring a very large speech corpus for training the system. In this system, statistical modeling is applied to learn distributions of context-dependent acoustic vectors extracted from speech signals, each vector containing a suitable parametric representation of one speech frame and Vietnamese phonetic rules to synthesize speech. The method presented in this paper allows accurate MFCC, F0 and tone extraction and high-quality reconstruction of speech signals. Its suitability for high-quality HMM-based speech synthesis is shown through evaluations subjectively.
%K Vietnamese speech synthesis
%K context-dependent
%K speech parameterization
%K statistical parametric speech synthesis
%U http://www.ijecse.org/wp-content/uploads/2012/12/Volume-2Number-1PP-46-52.pdf