Restoring speech intelligibility for hearing aid users with deep learning

Restoring speech intelligibility for hearing aid users with deep learning

Abstract Almost half a billion people world-wide suffer from disabling hearing loss. While hearing aids can partially compensate for this, a large proportion of users struggle to understand speech in situations with background noise. Here, we present a deep learning-based algorithm that selectively...

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Bibliographic Details
Main Authors: Peter Udo Diehl, Yosef Singer, Hannes Zilly, Uwe Schönfeld, Paul Meyer-Rachner, Mark Berry, Henning Sprekeler, Elias Sprengel, Annett Pudszuhn, Veit M. Hofmann
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-29871-8

Internet

https://doi.org/10.1038/s41598-023-29871-8

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