Improving Deep Neural Network Based Speech Synthesis through Contextual Feature Parametrization and Multi-Task Learning-Reference-Cited by-同舟云学术

Improving Deep Neural Network Based Speech Synthesis through Contextual Feature Parametrization and Multi-Task Learning

Published:2017-10-02 Issue:7 Volume:90 Page:1025-1037
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Wen Zhengqi,Li Kehuang,Huang Zhen,Lee Chin-Hui,Tao Jianhua

Funder

National High-Tech Research and Development Program of China (863 Program)

the National Natural Science Foundation of China (NSFC)

the Strategic Priority Research Program of the CAS

the Major Program for the National Social Science Fund of China

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/article/10.1007/s11265-017-1293-z/fulltext.html

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