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SEFGAN: Harvesting the Power of Normalizing Flows and GANs ..:
, In:
2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
,
Strauss, Martin
;
Pia, Nicola
;
Rao, Nagashree K. S.
. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/WASPAA58266.2023.10248144
RT T1 <cTitle>2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)</cTitle>: T1 <Title>SEFGAN: Harvesting the Power of Normalizing Flows and GANs for Efficient High-Quality Speech Enhancement</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10248144&Exemplar=1&LAN=DE A1 Strauss, Martin A1 Pia, Nicola A1 Rao, Nagashree K. S. A1 Edler, Bernd YR 2023 SN 1947-1629 K1 Training K1 Maximum likelihood estimation K1 Computational modeling K1 Artificial neural networks K1 Speech enhancement K1 Signal processing K1 Generative adversarial networks K1 normalizing flows K1 generative adversarial networks K1 GAN SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/WASPAA58266.2023.10248144 DO https://doi.org/10.1109/WASPAA58266.2023.10248144 SF ELIB - SuUB Bremen
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