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
Power-Law Nonlinearity with Maximally Uniform Distribution ..:
, In:
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
,
Kim, Chanwoo
;
Kumar, Mehul
;
Kim, Kwangyoun
. - p. 988-995 , 2019
Link:
https://doi.org/10.1109/ASRU46091.2019.9003973
RT T1
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
: T1
Power-Law Nonlinearity with Maximally Uniform Distribution Criterion for Improved Neural Network Training in Automatic Speech Recognition
UL https://suche.suub.uni-bremen.de/peid=ieee-9003973&Exemplar=1&LAN=DE A1 Kim, Chanwoo A1 Kumar, Mehul A1 Kim, Kwangyoun A1 Gowda, Dhananjaya YR 2019 K1 Multiuser detection K1 Speech recognition K1 Training K1 Random variables K1 Neural networks K1 Probability density function K1 Indexes K1 Deep-Neural Network Model K1 end-to-end speech recognition K1 feature distribution K1 nonlinearity function K1 power function SP 988 OP 995 LK http://dx.doi.org/https://doi.org/10.1109/ASRU46091.2019.9003973 DO https://doi.org/10.1109/ASRU46091.2019.9003973 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)