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Whodunnit: searching for the most important feature types signalling emotion-related user states in speech

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Author:Anton BatlinerORCiDGND, Stefan Steidl, Björn SchullerORCiDGND, Dino Seppi, Thurid Vogt, Johannes Wagner, Laurence Devillers, Laurence Vidrascu, Vered Aharonson, Loic Kessous, Noam Amir
URN:urn:nbn:de:bvb:384-opus4-670001
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/67000
ISSN:0885-2308OPAC
Parent Title (English):Computer Speech and Language
Publisher:Elsevier
Place of publication:Amsterdam
Type:Article
Language:English
Date of Publication (online):2019/12/10
Year of first Publication:2011
Publishing Institution:Universität Augsburg
Release Date:2019/12/12
Volume:25
Issue:1
First Page:4
Last Page:28
DOI:https://doi.org/10.1016/j.csl.2009.12.003
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 LogoCC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)

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