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Convoluational transformer with adaptive position embedding for Covid-19 detection from cough sounds

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Metadaten
Author:Tianhao Yan, Hao Meng, Shuo LiuORCiD, Emilia Parada-Cabaleiro, Zhao Ren, Bjorn W. SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1156282
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/115628
ISBN:978-1-6654-0540-9OPAC
Parent Title (English):ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 23-27 May 2022, Singapore, Singapore
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Haizhou Li, Sadaoki Furui, Kenneth Lam, Berrak Sisman, Yan Sun
Type:Conference Proceeding
Language:English
Year of first Publication:2022
Publishing Institution:Universität Augsburg
Release Date:2024/10/01
First Page:9092
Last Page:9096
DOI:https://doi.org/10.1109/icassp43922.2022.9747513
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
Nachhaltigkeitsziele
Nachhaltigkeitsziele / Ziel 3 - Gesundheit und Wohlergehen
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht