A novel attention-based gated recurrent unit and its efficacy in speech emotion recognition

Download full text files

  • 91590.pdfeng
    (1429KB)

    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:Srividya Tirunellai Rajamani, Kumar T. Rajamani, Adria Mallol-RagoltaORCiDGND, Shuo Liu, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-915901
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/91590
ISBN:978-1-7281-7606-2OPAC
Parent Title (English):International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), Toronto, ON, Canada, 6-11 June 2021
Publisher:IEEE
Place of publication:New York, NY
Editor:Dimitri Androutsos, Kostas Plataniotis, Xiao-Ping (Steven) Zhang, Nikolaos Boulgouris
Type:Part of a Book
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2022/01/26
First Page:6294
Last Page:6298
DOI:https://doi.org/10.1109/icassp39728.2021.9414489
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