20 citations · 26 across the 9 of their papers we have counts for
3 papers · 1 filter
Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech
Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier +2
Diffusion models have found great success in generating high quality, natural samples of speech, but their potential for density estimation for speech has so far remained largely u…
Investigating Training Objectives for Generative Speech Enhancement
Julius Richter, Danilo de Oliveira, Timo Gerkmann
Generative speech enhancement has recently shown promising advancements in improving speech quality in noisy environments. Multiple diffusion-based frameworks exist, each employing…
The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement
Danilo de Oliveira, Simon Welker, Julius Richter +1
To obtain improved speech enhancement models, researchers often focus on increasing performance according to specific instrumental metrics. However, when the same metric is used in…