Guided generative adversarial neural network for representation learning and audio generation using fewer labelled audio data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Erschienen in
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In: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29, S. 2575-2590
- Ereignis
-
Veröffentlichung
- (wo)
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Augsburg
- (wer)
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Universität Augsburg, Institute of Electrical and Electronics Engineers (IEEE)
- (wann)
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2021
- Urheber
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Haque, Kazi Nazmul
Rana, Rajib
Liu, Jiajun
Hansen, John
Cummins, Nicholas
Busso, Carlos
Schuller, Björn
- DOI
-
10.1109/taslp.2021.3098764
- URN
-
urn:nbn:de:bvb:384-opus4-889213
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:54 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Haque, Kazi Nazmul
- Rana, Rajib
- Liu, Jiajun
- Hansen, John
- Cummins, Nicholas
- Busso, Carlos
- Schuller, Björn
- Universität Augsburg, Institute of Electrical and Electronics Engineers (IEEE)
Entstanden
- 2021
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