Snore-GANs: improving automatic snore sound classification with synthesized data
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| Author: | Zixing Zhang, Jing HanORCiD, Kun QianORCiD, Christoph Janott, Yanan Guo, Björn SchullerORCiDGND |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-691836 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/69183 |
| ISSN: | 2168-2194OPAC |
| ISSN: | 2168-2208OPAC |
| Parent Title (English): | IEEE Journal of Biomedical and Health Informatics |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Place of publication: | New York, NY |
| Type: | Article |
| Language: | English |
| Year of first Publication: | 2020 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2020/01/23 |
| Tag: | Biotechnology; Electrical and Electronic Engineering; Health Information Management; Computer Science Applications |
| Volume: | 24 |
| Issue: | 1 |
| First Page: | 300 |
| Last Page: | 310 |
| DOI: | https://doi.org/10.1109/jbhi.2019.2907286 |
| 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 |
