文献
J-GLOBAL ID:202202282595210701
整理番号:22A0457621
自己教師付き学習による話者検証のための敵対的ロバスト性の改善【JST・京大機械翻訳】
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning
著者 (6件):
Wu Haibin
(Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan)
,
Li Xu
(Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, Hong Kong)
,
Liu Andy T.
(Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan)
,
Wu Zhiyong
(Shenzhen International Graduate School, Tsinghua University, Shenzhen, China)
,
Meng Helen
(Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, Hong Kong)
,
Lee Hung-Yi
(Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan)
資料名:
IEEE/ACM Transactions on Audio, Speech, and Language Processing
(IEEE/ACM Transactions on Audio, Speech, and Language Processing)
巻:
30
ページ:
202-217
発行年:
2022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)