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Elias Sprengel

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2020 – today

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2023
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  - journals/corr/abs-2308-11456
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Peter Udo Diehl, Hannes Zilly, Felix Sattler, Yosef Singer, Kevin Kepp, Mark Berry, Henning Hasemann, Marlene Zippel, Müge Kaya, Paul Meyer-Rachner, Annett Pudszuhn, Veit M. Hofmann, Matthias Vormann, Elias Sprengel:
Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users. CoRR abs/2308.11456 (2023)
2022
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Peter Udo Diehl, Yosef Singer, Hannes Zilly, Uwe Schönfeld, Paul Meyer-Rachner, Mark Berry, Henning Sprekeler, Elias Sprengel, Annett Pudszuhn, Veit M. Hofmann:
Restoring speech intelligibility for hearing aid users with deep learning. CoRR abs/2206.11567 (2022)

2010 – 2019

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2016
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Elias Sprengel, Martin Jaggi, Yannic Kilcher, Thomas Hofmann:
Audio Based Bird Species Identification using Deep Learning Techniques. CLEF (Working Notes) 2016: 547-559

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