文献
J-GLOBAL ID:202202222818641039
整理番号:22A0017910
TAU-Net:未知雑音環境における音声強調のための非負行列因子分解と共有した時間活性化U-Net【JST・京大機械翻訳】
TAU-Net: Temporal Activation U-Net Shared With Nonnegative Matrix Factorization for Speech Enhancement in Unseen Noise Environments
著者 (4件):
Jeon Kwang Myung
(Gwangju Institute of Science and Technology, Gwangju, Korea)
,
Lee Geon Woo
(School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea)
,
Kim Nam Kyun
(Gwangju Institute of Science and Technology (GIST)., Automotive Electronics R&D Center, Korea Automotive Technology Institute (KATECH), Gwangju, Korea)
,
Kim Hong Kook
(School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea)
資料名:
IEEE/ACM Transactions on Audio, Speech, and Language Processing
(IEEE/ACM Transactions on Audio, Speech, and Language Processing)
巻:
29
ページ:
3400-3414
発行年:
2021年
JST資料番号:
W0508B
ISSN:
2329-9290
CODEN:
ITASFA
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)