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Supervised contrastive learning for game-play frustration detection from speech

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Metadaten
Author:Meishu Song, Emilia Parada-CabaleiroORCiD, Shuo Liu, Manuel MillingORCiDGND, Alice BairdGND, Zijiang Yang, Björn W. SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-915812
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/91581
ISBN:9783030780913OPAC
ISBN:9783030780920OPAC
ISSN:0302-9743OPAC
ISSN:1611-3349OPAC
Parent Title (English):Lecture Notes in Computer Science
Publisher:Springer International
Place of publication:Cham
Type:Article
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2022/01/27
Volume:12768
First Page:617
Last Page:629
DOI:https://doi.org/10.1007/978-3-030-78092-0_43
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):License LogoDeutsches Urheberrecht

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