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Elias Sprengel
Elias Sprengel
Audatic
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Titel
Zitiert von
Zitiert von
Jahr
Audio based bird species identification using deep learning techniques
E Sprengel, M Jaggi, Y Kilcher, T Hofmann
LifeCLEF 2016, 547-559, 2016
1782016
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
182023
Hearing device system and method for processing audio signals
PU Diehl, E Sprengel
US Patent 11,832,058, 2023
132023
Signal processing device, system and method for processing audio signals
PU Diehl, E Sprengel
US Patent 11,910,163, 2024
122024
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
22022
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
12023
Signal processing device, system and method for processing audio signals
PU Diehl, E Sprengel
US Patent App. 17/425,256, 2022
12022
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
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