Restoring speech intelligibility for hearing aid users with deep learning

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Bibliographic Details
Published inScientific Reports Vol. 13
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 Journal Article
LanguageJapanese
Published Springer Science and Business Media LLC 15.02.2023
Subjects
Audio and Speech Processing (eess.AS)
Computer Science - Sound
Deep Learning
Electrical Engineering and Systems Science - Audio and Speech Processing
FOS: Biological sciences
FOS: Computer and information sciences
FOS: Electrical engineering, electronic engineering, information engineering
Hearing Aids
Hearing Loss, Sensorineural
Humans
Medicine
Neurons and Cognition (q-bio.NC)
Q
Quality of Life
Quantitative Biology - Neurons and Cognition
R
Science
Sound (cs.SD)
Speech Intelligibility
Speech Perception
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ISSN:2045-2322
DOI:10.48550/arxiv.2206.11567