Employing Real Training Data for Deep Noise Suppression

no code implementations • 5 Sep 2023 • Ziyi Xu, Marvin Sach, Jan Pirklbauer, Tim Fingscheidt

It provides a reference-free perceptual loss for employing real data during DNS training, maximizing the PESQ scores.

A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries

1 code implementation • 2 May 2022 • Hermann Kroll, Jan Pirklbauer, Florian Plötzky, Wolf-Tilo Balke

This paper tackles the question how digital libraries can handle such extractions and if their quality is sufficient in practice.

A Semantically Enriched Dataset based on Biomedical NER for the COVID19 Open Research Dataset Challenge

1 code implementation • 18 May 2020 • Hermann Kroll, Jan Pirklbauer, Johannes Ruthmann, Wolf-Tilo Balke

Research into COVID-19 is a big challenge and highly relevant at the moment.

Digital Libraries