End-to-end audio classification with small datasets: making it work
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| Author: | Maximilian SchmittORCiD, Björn SchullerORCiDGND |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-717069 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/71706 |
| ISBN: | 9789082797039OPAC |
| Parent Title (English): | 27th European Signal Processing Conference (EUSIPCO), 2-6 September 2019, A Coruna, Spain |
| Publisher: | IEEE |
| Place of publication: | Piscataway, NJ |
| Type: | Part of a Book |
| Language: | English |
| Year of first Publication: | 2019 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2020/03/03 |
| First Page: | 1 |
| Last Page: | 5 |
| DOI: | https://doi.org/10.23919/eusipco.2019.8902712 |
| 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 |
