文献
J-GLOBAL ID:201902211916704446
整理番号:19A1489024
音声合成のための変分推論を用いた準完全畳込みニューラルネットワーク【JST・京大機械翻訳】
Quasi-fully Convolutional Neural Network with Variational Inference for Speech Synthesis
著者 (9件):
Wang Mu
(Tsinghua-CUHK Joint Research Center for Media Science, Technologies and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China)
,
Wu Xixin
(Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong SAR, China)
,
Wu Zhiyong
(Tsinghua-CUHK Joint Research Center for Media Science, Technologies and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China)
,
Kang Shiyin
(Tencent AI Lab, Shenzhen, China)
,
Tuo Deyi
(Tencent AI Lab, Shenzhen, China)
,
Li Guangzhi
(Tencent AI Lab, Shenzhen, China)
,
Su Dan
(Tencent AI Lab, Shenzhen, China)
,
Yu Dong
(Tencent AI Lab, Shenzhen, China)
,
Meng Helen
(Tsinghua-CUHK Joint Research Center for Media Science, Technologies and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2019
号:
ICASSP
ページ:
7060-7064
発行年:
2019年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)