Can deep generative audio be emotional? Towards an approach for personalised emotional audio generation

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Metadaten
Author:Alice BairdGND, Shahin AmiriparianORCiDGND, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-658748
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/65874
ISBN:978-1-7281-1817-8OPAC
Parent Title (English):IEEE MMSP 2019 - 21st International Workshop on Multimedia Signal Processing, 27-29 September 2019, Kuala Lumpur, Malaysia
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Jenq-Neng Hwang, Chee Seng Chan, Wen-Huang Cheng, Lai-Kuan Wong, SimYing Ong
Type:Part of a Book
Language:English
Year of first Publication:2019
Publishing Institution:Universität Augsburg
Release Date:2019/11/21
First Page:1
Last Page:5
DOI:https://doi.org/10.1109/MMSP.2019.8901785
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