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SEFGAN: Harvesting the Power of Normalizing Flows and GANs for Efficient High-Quality Speech Enhancement
This paper proposes SEFGAN, a Deep Neural Network (DNN) combining maximum likelihood training and Generative Adversarial Networks (GANs) for efficient speech enhancement (SE).
On The Effect Of Coding Artifacts On Acoustic Scene Classification
This paper explores the effect of perceptual audio coding on the classification performance using a DCASE 2020 challenge contribution [1].
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