CAA-Net: Conditional Atrous CNNs with attention for explainable device-robust acoustic scene classification

Download full text files

  • 91077.pdfeng
    (3090KB)

    Postprint. © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Zhao RenORCiD, Qiuqiang Kong, Jing HanORCiD, Mark D. Plumbley, Björn W. SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-910772
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/91077
ISSN:1520-9210OPAC
ISSN:1941-0077OPAC
Parent Title (English):IEEE Transactions on Multimedia
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Type:Article
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2021/12/09
Tag:Electrical and Electronic Engineering; Computer Science Applications; Media Technology; Signal Processing
Volume:23
First Page:4131
Last Page:4142
DOI:https://doi.org/10.1109/tmm.2020.3037534
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

OPUS4 Logo