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
Polyphonic Sound Event Detection Using Transposed Convoluti..:
, In:
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Chatterjee, Chandra Churh
;
Mulimani, Manjunath
;
Koolagudi, Shashidhar G.
- p. 661-665 , 2020
Link:
https://doi.org/10.1109/ICASSP40776.2020.9054628
RT T1 <cTitle>ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Polyphonic Sound Event Detection Using Transposed Convolutional Recurrent Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9054628&Exemplar=1&LAN=DE A1 Chatterjee, Chandra Churh A1 Mulimani, Manjunath A1 Koolagudi, Shashidhar G. YR 2020 SN 2379-190X K1 Sound Event Detection (SED) K1 Deep Neural Networks (DNN) K1 Convolution Neural Networks (CNN) K1 Recurrent Neural Networks (RNN) K1 Transposed CNN (TCNN) K1 Instantaneous Frequency spectrogram (IFgram) SP 661 OP 665 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP40776.2020.9054628 DO https://doi.org/10.1109/ICASSP40776.2020.9054628 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
