Ordinal learning for emotion recognition in customer service calls

Download full text files

  • 91707.pdfeng
    (335KB)

    Postprint. © 2020 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:Wenjing Han, Tao Jiang, Yan Li, Björn SchullerORCiDGND, Huabin Ruan
URN:urn:nbn:de:bvb:384-opus4-917071
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/91707
ISBN:978-1-5090-6632-2OPAC
Parent Title (English):International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), Barcelona, Spain, 4-8 May 2020
Publisher:IEEE
Place of publication:New York, NY
Editor:Ana I. Pérez-Neira, Xavier Mestre, Pau Closas, Mónica Bugallo
Type:Part of a Book
Language:English
Year of first Publication:2020
Publishing Institution:Universität Augsburg
Release Date:2022/01/27
First Page:6494
Last Page:6498
DOI:https://doi.org/10.1109/icassp40776.2020.9053648
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