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Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models
In this paper, we propose to extend the deep, complex U-Network architecture for speech enhancement by incorporating a probabilistic (i. e., variational) latent space model.
Towards speech enhancement using a variational U-Net architecture
We study the adoption of a probabilistic bottleneck into the classic U-Net architecture for direct spectral reconstruction.
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