Automatic assessment of depression from speech via a hierarchical attention transfer network and attention autoencoders

Download full text files

  • 67303.pdfeng
    (866KB)

    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:Ziping Zhao, Zhongtian Bao, Zixing Zhang, Jun Deng, Nicholas CumminsORCiDGND, Haishuai Wang, Jianhua Tao, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-673032
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/67303
ISSN:1932-4553OPAC
ISSN:1941-0484OPAC
Parent Title (English):IEEE Journal of Selected Topics in Signal Processing
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Place of publication:New York, NY
Type:Article
Language:English
Year of first Publication:2020
Publishing Institution:Universität Augsburg
Release Date:2019/12/16
Tag:Signal Processing; Electrical and Electronic Engineering
Volume:14
Issue:2
First Page:423
Last Page:434
DOI:https://doi.org/10.1109/jstsp.2019.2955012
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