2 citations · 2 across the 2 of their papers we have counts for
3 papers
DriftSE: Speech Enhancement with Generative Drifting
Liang Xu, Diego Caviedes-Nozal, W. Bastiaan Kleijn +2
We propose DriftSE, a novel one-step generative framework for speech enhancement formulated as a latent distribution equilibrium problem. During training, the drifting field aligns…
Speech Enhancement Based on Drifting Models
Liang Xu, Diego Caviedes-Nozal, W. Bastiaan Kleijn +2
We propose Speech Enhancement based on Drifting Models (DriftSE), a novel generative framework that formulates denoising as an equilibrium problem. Rather than relying on iterative…
Room impulse response reconstruction with physics-informed deep learning
Xenofon Karakonstantis, Diego Caviedes-Nozal, Antoine Richard +1
A method is presented for estimating and reconstructing the sound field within a room using physics-informed neural networks. By incorporating a limited set of experimental room im…