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Restoring speech intelligibility for hearing aid users with deep learning
23 June 2022
P. U. Diehl
Y. Singer
Hannes Zilly
U. Schonfeld
Paul Meyer-Rachner
Mark Berry
Henning Sprekeler
Elias Sprengel
A. Pudszuhn
V. Hofmann
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Papers citing
"Restoring speech intelligibility for hearing aid users with deep learning"
7 / 7 papers shown
Title
A Study on Speech Assessment with Visual Cues
Shafique Ahmed
Ryandhimas E. Zezario
Nasir Saleem
Amir Hussain
H. Wang
Yu Tsao
57
0
0
11 Jun 2025
Evaluation of Deep Audio Representations for Hearables
Fabian Gröger
Pascal Baumann
Ludovic Amruthalingam
Laurent Simon
Ruksana Giurda
Simone Lionetti
123
0
0
10 Feb 2025
Using Speech Foundational Models in Loss Functions for Hearing Aid Speech Enhancement
Robert Sutherland
George Close
Thomas Hain
Stefan Goetze
Jon Barker
77
3
0
18 Jul 2024
Real-time multichannel deep speech enhancement in hearing aids: Comparing monaural and binaural processing in complex acoustic scenarios
Nils L. Westhausen
Hendrik Kayser
Theresa Jansen
Bernd T. Meyer
70
4
0
03 May 2024
Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users
P. U. Diehl
Hannes Zilly
Felix Sattler
Y. Singer
Kevin Kepp
...
Paul Meyer-Rachner
A. Pudszuhn
V. Hofmann
M. Vormann
Elias Sprengel
66
3
0
22 Aug 2023
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization
Jim Beckers
Bart Van Erp
Ziyue Zhao
K. Kondrashov
Bert De Vries
AAML
71
6
0
17 Oct 2022
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
1.6K
14,662
0
07 Oct 2016
1