Audio based bird species identification using deep learning techniques E Sprengel, M Jaggi, Y Kilcher, T Hofmann LifeCLEF 2016, 547-559, 2016 | 178 | 2016 |
Restoring speech intelligibility for hearing aid users with deep learning PU Diehl, Y Singer, H Zilly, U Schönfeld, P Meyer-Rachner, M Berry, ... Scientific Reports 13 (1), 2719, 2023 | 18 | 2023 |
Hearing device system and method for processing audio signals PU Diehl, E Sprengel US Patent 11,832,058, 2023 | 13 | 2023 |
Signal processing device, system and method for processing audio signals PU Diehl, E Sprengel US Patent 11,910,163, 2024 | 12 | 2024 |
Non-intrusive deep learning-based computational speech metrics with high-accuracy across a wide range of acoustic scenes PU Diehl, L Thorbergsson, Y Singer, V Skripniuk, A Pudszuhn, ... Plos one 17 (11), e0278170, 2022 | 2 | 2022 |
Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users PU Diehl, H Zilly, F Sattler, Y Singer, K Kepp, M Berry, H Hasemann, ... Frontiers in Medical Engineering 1, 1281904, 2023 | 1 | 2023 |
Signal processing device, system and method for processing audio signals PU Diehl, E Sprengel US Patent App. 17/425,256, 2022 | 1 | 2022 |
Hearing device system and method for processing audio signals PU Diehl, E Sprengel, M Barbier US Patent 11,792,580, 2023 | | 2023 |
Restoring speech intelligibility for hearing aid users with deep learning P Udo Diehl, Y Singer, H Zilly, U Schönfeld, P Meyer-Rachner, M Berry, ... arXiv e-prints, arXiv: 2206.11567, 2022 | | 2022 |
Collaborative Filtering Combining Low Rank Matrix Factorisation with K-Nearest Neighbours L Breidenbach, E Sprengel, M Jostock | | |