DocumentCode :
3279799
Title :
A trainable Vietnamese speech synthesis system based on HMM
Author :
He, Linyu ; Yang, Jian ; Zuo, Libo ; Kui, Liping
Author_Institution :
Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
fYear :
2011
fDate :
15-17 April 2011
Firstpage :
3910
Lastpage :
3913
Abstract :
This paper describes an approach to the realization of a trainable speech synthesis system using a technique whereby speech is directly synthesized from Hidden Markov models (HMMs), and apply it to the Vietnamese synthesis system. A series of data should be prepared before the training and synthesis process, including the collection of data, recording, labelling, the design of contextual property and problem sets. The whole training and synthesis process is based on the HMM based Speech Synthesis System-2.0 (HTS-2.0) and it is automated. The final synthesis result shows that using this method to the Vietnamese synthesis system is feasible.
Keywords :
hidden Markov models; speech synthesis; HMM; Vietnamese synthesis system; hidden Markov model; trainable speech synthesis system; Hidden Markov models; Information processing; Phase change materials; Smoothing methods; Speech; Speech synthesis; Training; Hidden Markov models; Vietnamese; speech synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
Type :
conf
DOI :
10.1109/ICEICE.2011.5777589
Filename :
5777589
Link To Document :
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