94 citations · 404 across the 41 of their papers we have counts for
47 papers
Unsupervised Speech Enhancement via Drifting
Diego Caviedes-Nozal, Liang Xu, Rasmus Kongsgaard Olsson +1
This paper addresses unsupervised speech enhancement in the unpaired setting using drifting methods, where training relies on separate collections of degraded and clean audio witho…
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…
Single Microphone Own Voice Detection based on Simulated Transfer Functions for Hearing Aids
Mathuranathan Mayuravaani, W. Bastiaan Kleijn, Andrew Lensen +1
This paper presents a simulation-based approach to own voice detection (OVD) in hearing aids using a single microphone. While OVD can significantly improve user comfort and speech…
Robust One-step Speech Enhancement via Consistency Distillation
Liang Xu, Longfei Felix Yan, W. Bastiaan Kleijn
Diffusion models have shown strong performance in speech enhancement, but their real-time applicability has been limited by multi-step iterative sampling. Consistency distillation…
High Quality Diffusion Distillation on a Single GPU with Relative and Absolute Position Matching
Guoqiang Zhang, Kenta Niwa, J. P. Lewis +2
We introduce relative and absolute position matching (RAPM), a diffusion distillation method resulting in high quality generation that can be trained efficiently on a single GPU. R…