Recognising Covid-19 from coughing using ensembles of SVMs and LSTMs with handcrafted and deep audio features

Download full text files

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Vincent Karas, Björn W. SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-953203
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/95320
Parent Title (English):Interspeech 2021, Brno, Czechia, 30 August - 3 September 2021
Publisher:International Speech Communication Association (ISCA)
Place of publication:Baixas
Editor:Hynek Heřmanský, Honza Černocký, Lukáš Burget, Lori Lamel, Odette Scharenborg, Petr Motlicek
Type:Part of a Book
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2022/05/11
First Page:911
Last Page:915
DOI:https://doi.org/10.21437/interspeech.2021-1267
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