Guided generative adversarial neural network for representation learning and audio generation using fewer labelled audio data

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Metadaten
Author:Kazi Nazmul Haque, Rajib Rana, Jiajun Liu, John Hansen, Nicholas CumminsORCiDGND, Carlos Busso, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-889213
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/88921
ISSN:2329-9290OPAC
ISSN:2329-9304OPAC
Parent Title (English):IEEE/ACM Transactions on Audio, Speech, and Language Processing
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Type:Article
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2021/09/02
Tag:Acoustics and Ultrasonics; Computational Mathematics; Computer Science (miscellaneous); Electrical and Electronic Engineering
Volume:29
First Page:2575
Last Page:2590
DOI:https://doi.org/10.1109/taslp.2021.3098764
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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