文献
J-GLOBAL ID:202202270171775345
整理番号:22A1163881
カリキュラム二分ランキング重み付きバイナリクロスエントロピーによるエンドツーエンド話者検証【JST・京大機械翻訳】
End-to-End Speaker Verification via Curriculum Bipartite Ranking Weighted Binary Cross-Entropy
著者 (4件):
Bai Zhongxin
(Center of Intelligent Acoustics and Immersive Communications (CIAIC), Shaanxi Provincial Key Laboratory of Artificial Intelligence, and the School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, Shaanxi, China)
,
Wang Jianyu
(Center of Intelligent Acoustics and Immersive Communications (CIAIC), Shaanxi Provincial Key Laboratory of Artificial Intelligence, and the School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, Shaanxi, China)
,
Zhang Xiao-Lei
(Center of Intelligent Acoustics and Immersive Communications (CIAIC), Shaanxi Provincial Key Laboratory of Artificial Intelligence, and the School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, Shaanxi, China)
,
Chen Jingdong
(CIAIC and the Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi’an, Shaanxi, China)
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:
1330-1344
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)