Non-intrusive deep learning-based computational speech metrics with high-accuracy across a wide range of acoustic scenes
Peter Udo Diehl, Leifur Thorbergsson, Yosef Singer, Vladislav Skripniuk, Annett Pudszuhn, Veit M. Hofmann, Elias Sprengel, Paul Meyer-Rachner
Published in PloS one (28.11.2022)
Published in PloS one (28.11.2022)
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Journal Article
Restoring speech intelligibility for hearing aid users with deep learning
Diehl, Peter Udo, Singer, Yosef, Zilly, Hannes, Schönfeld, Uwe, Meyer-Rachner, Paul, Berry, Mark, Sprekeler, Henning, Sprengel, Elias, Pudszuhn, Annett, Hofmann, Veit M.
Published in Scientific reports (15.02.2023)
Published in Scientific reports (15.02.2023)
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Journal Article
Non-intrusive deep learning-based computational speech metrics with high-accuracy across a wide range of acoustic scenes
Diehl, Peter Udo, Thorbergsson, Leifur, Singer, Yosef, Skripniuk, Vladislav, Pudszuhn, Annett, Hofmann, Veit M, Sprengel, Elias, Meyer-Rachner, Paul
Published in PloS one (28.11.2022)
Published in PloS one (28.11.2022)
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Journal Article
Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users
Diehl, Peter Udo, Zilly, Hannes, Sattler, Felix, Singer, Yosef, Kepp, Kevin, Berry, Mark, Hasemann, Henning, Zippel, Marlene, Kaya, Müge, Meyer-Rachner, Paul, Pudszuhn, Annett, Hofmann, Veit M., Vormann, Matthias, Sprengel, Elias
Published in Frontiers in Medical Engineering (15.11.2023)
Published in Frontiers in Medical Engineering (15.11.2023)
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