5 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.AS2023★ 5 cited
Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models
Eike J. Nustede, Jörn Anemüller
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. The pro…
eess.AS2020
Towards speech enhancement using a variational U-Net architecture
Eike J. Nustede, Jörn Anemüller
We investigate the viability of a variational U-Net architecture for denoising of single-channel audio data. Deep network speech enhancement systems commonly aim to estimate filter…