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
Automatic Music Mastering using Deep Learning:
, In:
2022 International Conference on Computational Science and Computational Intelligence (CSCI)
,
Smit, Jared
;
Lee, Byeong Kil
- p. 385-390 , 2022
Link:
https://doi.org/10.1109/CSCI58124.2022.00075
RT T1
2022 International Conference on Computational Science and Computational Intelligence (CSCI)
: T1
Automatic Music Mastering using Deep Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10216468&Exemplar=1&LAN=DE A1 Smit, Jared A1 Lee, Byeong Kil YR 2022 SN 2769-5654 K1 Deep learning K1 Industries K1 Technological innovation K1 Art K1 Scientific computing K1 Computational modeling K1 Music K1 deep learning K1 music mastering K1 cost function K1 automatic mastering K1 parametric equalizer SP 385 OP 390 LK http://dx.doi.org/https://doi.org/10.1109/CSCI58124.2022.00075 DO https://doi.org/10.1109/CSCI58124.2022.00075 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)