文献
J-GLOBAL ID:201902264468431935
整理番号:19A2501083
長く短い発話のためのエンドツーエンドDNNベースのテキスト独立話者認識【JST・京大機械翻訳】
End-to-end DNN based text-independent speaker recognition for long and short utterances
著者 (7件):
Rohdin Johan
(Brno University of Technology, Speech@FIT and IT4I Center of Excellence, Bozetechova 2, Brno 61266, Czech Republic)
,
Silnova Anna
(Brno University of Technology, Speech@FIT and IT4I Center of Excellence, Bozetechova 2, Brno 61266, Czech Republic)
,
Diez Mireia
(Brno University of Technology, Speech@FIT and IT4I Center of Excellence, Bozetechova 2, Brno 61266, Czech Republic)
,
Plchot Oldrich
(Brno University of Technology, Speech@FIT and IT4I Center of Excellence, Bozetechova 2, Brno 61266, Czech Republic)
,
Matejka Pavel
(Brno University of Technology, Speech@FIT and IT4I Center of Excellence, Bozetechova 2, Brno 61266, Czech Republic)
,
Burget Lukas
(Brno University of Technology, Speech@FIT and IT4I Center of Excellence, Bozetechova 2, Brno 61266, Czech Republic)
,
Glembek Ondrej
(Brno University of Technology, Speech@FIT and IT4I Center of Excellence, Bozetechova 2, Brno 61266, Czech Republic)
資料名:
Computer Speech and Language
(Computer Speech and Language)
巻:
59
ページ:
22-35
発行年:
2020年
JST資料番号:
T0677A
ISSN:
0885-2308
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)