Snore-GANs: improving automatic snore sound classification with synthesized data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: IEEE Journal of Biomedical and Health Informatics, 24, 1, S. 300-310
- Klassifikation
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Informatik
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
-
Universität Augsburg
- (wann)
-
2020
- Ereignis
-
Veröffentlichung
- (wo)
-
New York, NY
- (wer)
-
Institute of Electrical and Electronics Engineers (IEEE)
- (wann)
-
2020
- Urheber
- DOI
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10.1109/jbhi.2019.2907286
- URN
-
urn:nbn:de:bvb:384-opus4-691836
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:34 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zhang, Zixing
- Han, Jing
- Qian, Kun
- Janott, Christoph
- Guo, Yanan
- Schuller, Björn
- Universität Augsburg
- Institute of Electrical and Electronics Engineers (IEEE)
Entstanden
- 2020
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