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
Paᗧ-HuBERT: Self-Supervised Music Source Separation Via Pri..:
, In:
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
,
Chen, Ke
;
Wichern, Gordon
;
Germain, Francois G.
. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICASSPW59220.2023.10193575
RT T1 <cTitle>2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)</cTitle>: T1 <Title>Paᗧ-HuBERT: Self-Supervised Music Source Separation Via Primitive Auditory Clustering And Hidden-Unit Bert</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10193575&Exemplar=1&LAN=DE A1 Chen, Ke A1 Wichern, Gordon A1 Germain, Francois G. A1 Le Roux, Jonathan YR 2023 K1 Adaptation models K1 Source separation K1 Limiting K1 Instruments K1 Self-supervised learning K1 Data models K1 Multiple signal classification K1 Music source separation K1 primitive auditory principles K1 self-supervised Learning K1 BERT SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICASSPW59220.2023.10193575 DO https://doi.org/10.1109/ICASSPW59220.2023.10193575 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
