Connecting subspace learning and extreme learning machine in speech emotion recognition

Download full text files

  • 43859.pdfeng
    (1028KB)

    Postprint. © 2019 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:Xinzhou Xu, Jun Deng, Eduardo Coutinho, Chen Wu, Li Zhao, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-438592
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/43859
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:2019
Publishing Institution:Universität Augsburg
Release Date:2018/11/21
Tag:Media Technology; Signal Processing; Electrical and Electronic Engineering; Computer Science Applications
Volume:21
Issue:3
First Page:795
Last Page:808
DOI:https://doi.org/10.1109/tmm.2018.2865834
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