I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Semi-supervised Training for Sequence-to-Sequence Speech Re..:
, In:
2020 International Joint Conference on Neural Networks (IJCNN)
,
Chung, Hoon
;
Jeon, Hyeong-Bae
;
Park, Jeon Gue
- p. 1-6 , 2020
Link:
https://doi.org/10.1109/IJCNN48605.2020.9207023
RT T1
2020 International Joint Conference on Neural Networks (IJCNN)
: T1
Semi-supervised Training for Sequence-to-Sequence Speech Recognition Using Reinforcement Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-9207023&Exemplar=1&LAN=DE A1 Chung, Hoon A1 Jeon, Hyeong-Bae A1 Park, Jeon Gue YR 2020 SN 2161-4407 K1 Training K1 Decoding K1 Learning (artificial intelligence) K1 Data models K1 Error analysis K1 Speech recognition K1 Task analysis K1 automatic speech recognition K1 semi-supervised learning K1 reinforcement learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IJCNN48605.2020.9207023 DO https://doi.org/10.1109/IJCNN48605.2020.9207023 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)