文献
J-GLOBAL ID:201702260034194092
整理番号:17A0142476
異なる性混合物のための深いニューラルネットワークによる教師なし単一チャネル音声分離【Powered by NICT】
Unsupervised single-channel speech separation via deep neural network for different gender mixtures
著者 (4件):
Wang Yannan
(National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China)
,
Du Jun
(National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China)
,
Dai Li-Rong
(National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, P. R. China)
,
Lee Chin-Hui
(School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA. USA)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
APSIPA
ページ:
1-4
発行年:
2016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)