文献
J-GLOBAL ID:202002269475787326
整理番号:20A2443568
音声強調のための拡張残差ネットワークとマルチアテンションによる改良型相対論的サイクル無矛盾GAN【JST・京大機械翻訳】
Improved Relativistic Cycle-Consistent GAN With Dilated Residual Network and Multi-Attention for Speech Enhancement
著者 (5件):
Wang Yutian
(Key Laboratory of Media Audio and Video, Ministry of Education, Communication University of China, Beijing, China)
,
Yu Guochen
(Key Laboratory of Media Audio and Video, Ministry of Education, Communication University of China, Beijing, China)
,
Wang Jingling
(Key Laboratory of Media Audio and Video, Ministry of Education, Communication University of China, Beijing, China)
,
Wang Hui
(State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China)
,
Zhang Qin
(Key Laboratory of Media Audio and Video, Ministry of Education, Communication University of China, Beijing, China)
資料名:
IEEE Access
(IEEE Access)
巻:
8
ページ:
183272-183285
発行年:
2020年
JST資料番号:
W2422A
ISSN:
2169-3536
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)