257 citations · 441 across the 24 of their papers we have counts for
8 papers · 1 filter
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation
Jean-Marie Lemercier, Julius Richter, Simon Welker +1
Diffusion models have shown a great ability at bridging the performance gap between predictive and generative approaches for speech enhancement. We have shown that they may even ou…
DriftRec: Adapting diffusion models to blind JPEG restoration
Simon Welker, Henry N. Chapman, Timo Gerkmann
In this work, we utilize the high-fidelity generation abilities of diffusion models to solve blind JPEG restoration at high compression levels. We propose an elegant modification o…
DiffPhase: Generative Diffusion-based STFT Phase Retrieval
Tal Peer, Simon Welker, Timo Gerkmann
Diffusion probabilistic models have been recently used in a variety of tasks, including speech enhancement and synthesis. As a generative approach, diffusion models have been shown…
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration
Jean-Marie Lemercier, Julius Richter, Simon Welker +1
Diffusion-based generative models have had a high impact on the computer vision and speech processing communities these past years. Besides data generation tasks, they have also be…
Speech Enhancement and Dereverberation with Diffusion-based Generative Models
Julius Richter, Simon Welker, Jean-Marie Lemercier +2
In this work, we build upon our previous publication and use diffusion-based generative models for speech enhancement. We present a detailed overview of the diffusion process that…
Beyond Griffin-Lim: Improved Iterative Phase Retrieval for Speech
Tal Peer, Simon Welker, Timo Gerkmann
Phase retrieval is a problem encountered not only in speech and audio processing, but in many other fields such as optics. Iterative algorithms based on non-convex set projections…
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain
Simon Welker, Julius Richter, Timo Gerkmann
Score-based generative models (SGMs) have recently shown impressive results for difficult generative tasks such as the unconditional and conditional generation of natural images an…
Deep Iterative Phase Retrieval for Ptychography
Simon Welker, Tal Peer, Henry N. Chapman +1
One of the most prominent challenges in the field of diffractive imaging is the phase retrieval (PR) problem: In order to reconstruct an object from its diffraction pattern, the in…