Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems. - Deepak Baby; Sarah Verhulst (INTERSPEECH, 2018)

Machines hear better when they have ears. - Deepak Baby; Sarah Verhulst (CoRR, 2018)

Sergan: Speech Enhancement Using Relativistic Generative Adversarial Networks with Gradient Penalty. - Deepak Baby; Sarah Verhulst (ICASSP, 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)

Hearing-Impaired Bio-Inspired Cochlear Models for Real-Time Auditory Applications. - Arthur Van Den Broucke; Deepak Baby; Sarah Verhulst (INTERSPEECH, 2020)

Individualized Cochlear Models Based on Distortion Product Otoacoustic Emissions. - Sarineh Keshishzadeh; Sarah Verhulst (EMBC, 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)

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 Differentiable Optimisation Framework for The Design of Individualised DNN-based Hearing-Aid Strategies. - Fotios Drakopoulos; Sarah Verhulst (ICASSP, 2022)

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 (EMBC, 2023)

A DNN-Based Hearing-Aid Strategy For Real-Time Processing: One Size Fits All. - Fotios Drakopoulos; Arthur Van Den Broucke; Sarah Verhulst (ICASSP, 2023)

Biophysically-inspired single-channel speech enhancement in the time domain. - Chuan Wen; Sarah Verhulst (INTERSPEECH, 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)

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 001; Ernst Dalhoff; Lukas Rüttiger; Matthias H. J. Munk; et al. (NeuroImage, 2025)

Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing. - Chuan Wen; Guy Torfs; Sarah Verhulst (CoRR, 2025)