Generating and protecting against adversarial attacks for deep speech-based emotion recognition models

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Metadaten
Author:Zhao RenORCiD, Alice BairdGND, Jing HanORCiD, Zixing Zhang, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-917044
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/91704
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, Monica Bugallo
Type:Part of a Book
Language:English
Year of first Publication:2020
Publishing Institution:Universität Augsburg
Release Date:2022/01/27
First Page:7184
Last Page:7188
DOI:https://doi.org/10.1109/icassp40776.2020.9054087
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

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