Deep neural networks for acoustic emotion recognition: raising the benchmarks

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Metadaten
Author:André Stuhlsatz, Christine Meyer, Florian Eyben, Thomas Zielke, Günter Meier, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-726940
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/72694
ISBN:978-1-4577-0539-7OPAC
Parent Title (English):2011 IEEE International Conference on Acoustics, Speech and Signal Processing: (ICASSP), 22-27 May 2011, Prague, Czech Republic
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Petr Tichavský, Jan Černocký, Aleš Procházka, Jiří Jan, Robert Vích
Type:Part of a Book
Language:English
Year of first Publication:2011
Publishing Institution:Universität Augsburg
Release Date:2020/06/08
First Page:5688
Last Page:5691
DOI:https://doi.org/10.1109/ICASSP.2011.5947651
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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