Sarah Verhulst

According to our database, Sarah Verhulst authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing.

Chuan Wen, Guy Torfs, Sarah Verhulst

CoRR, January, 2025

Age dependent deficits in speech recognition in quiet and noise are reflected in MGB activity and cochlear onset coding.

Konrad Dapper, Stephan M. Wolpert, Jakob Schirmer, Stefan Fink, Etienne Gaudrain, Deniz Baskent, Wibke Singer, Sarah Verhulst, Christoph Braun, Ernst Dalhoff, Lukas Rüttiger, Matthias H. J. Munk, Marlies Knipper

NeuroImage, 2025

2023

A Neural-Network Framework for the Design of Individualised Hearing-Loss Compensation.

Fotios Drakopoulos, Sarah Verhulst

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Biophysically-inspired single-channel speech enhancement in the time domain.

Chuan Wen, Sarah Verhulst

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

A DNN-Based Hearing-Aid Strategy For Real-Time Processing: One Size Fits All.

Fotios Drakopoulos, Arthur Van Den Broucke, Sarah Verhulst

Proceedings of the IEEE International Conference on Acoustics, 2023

Wireless and Wearable Auditory EEG Acquisition Hardware Using Around-The-Ear cEEGrid Electrodes.

Arthur Van Den Broucke, Joris Van Kerrebrouck, Wannes Van Ransbeeck, Robin Pynckels, Attila Fráter, Guy Torfs, Sarah Verhulst

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

A Differentiable Optimisation Framework for The Design of Individualised DNN-based Hearing-Aid Strategies.

Fotios Drakopoulos, Sarah Verhulst

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications.

Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst

Nat. Mach. Intell., 2021

A comparative study of eight human auditory models of monaural processing.

Alejandro Osses Vecchi, Léo Varnet, Laurel H. Carney, Torsten Dau, Ian C. Bruce, Sarah Verhulst, Piotr Majdak

CoRR, 2021

Individualized Cochlear Models Based on Distortion Product Otoacoustic Emissions.

Sarineh Keshishzadeh, Sarah Verhulst

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Hearing-Impaired Bio-Inspired Cochlear Models for Real-Time Auditory Applications.

Arthur Van Den Broucke, Deepak Baby, Sarah Verhulst

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Calibration and reference simulations for the auditory periphery model of Verhulst et al 2018 version 1.2.

Alejandro Osses Vecchi, Sarah Verhulst

CoRR, 2019

Sergan: Speech Enhancement Using Relativistic Generative Adversarial Networks with Gradient Penalty.

Deepak Baby, Sarah Verhulst

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Machines hear better when they have ears.

Deepak Baby, Sarah Verhulst

CoRR, 2018

Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems.

Deepak Baby, Sarah Verhulst

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018