Sarah Verhulst

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Speech Enhancement

Input Variables

Trained Neural Network

Top Venues

Publications

Chuan Wen, Sarah Verhulst
Biophysically-inspired single-channel speech enhancement in the time domain. INTERSPEECH (2023)
Fotios Drakopoulos, Sarah Verhulst
A Neural-Network Framework for the Design of Individualised Hearing-Loss Compensation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Fotios Drakopoulos, Arthur Van Den Broucke, Sarah Verhulst
A DNN-Based Hearing-Aid Strategy For Real-Time Processing: One Size Fits All. ICASSP (2023)
Arthur Van Den Broucke, Joris Van Kerrebrouck, Wannes Van Ransbeeck, Robin Pynckels, Attila Fráter, Guy Torfs, Sarah Verhulst
Wireless and Wearable Auditory EEG Acquisition Hardware Using Around-The-Ear cEEGrid Electrodes. EMBC (2023)
Fotios Drakopoulos, Sarah Verhulst
A Differentiable Optimisation Framework for The Design of Individualised DNN-based Hearing-Aid Strategies. ICASSP (2022)
Sarineh Keshishzadeh, Sarah Verhulst
Individualized Cochlear Models Based on Distortion Product Otoacoustic Emissions. EMBC (2021)
Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications. Nat. Mach. Intell. 3 (2) (2021)
Alejandro Osses Vecchi, Léo Varnet, Laurel H. Carney, Torsten Dau, Ian C. Bruce, Sarah Verhulst, Piotr Majdak
A comparative study of eight human auditory models of monaural processing. CoRR (2021)
Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications. CoRR (2020)
Arthur Van Den Broucke, Deepak Baby, Sarah Verhulst
Hearing-Impaired Bio-Inspired Cochlear Models for Real-Time Auditory Applications. INTERSPEECH (2020)
Alejandro Osses Vecchi, Sarah Verhulst
Calibration and reference simulations for the auditory periphery model of Verhulst et al 2018 version 1.2. CoRR (2019)
Deepak Baby, Sarah Verhulst
Sergan: Speech Enhancement Using Relativistic Generative Adversarial Networks with Gradient Penalty. ICASSP (2019)
Deepak Baby, Sarah Verhulst
Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems. INTERSPEECH (2018)
Deepak Baby, Sarah Verhulst
Machines hear better when they have ears. CoRR (2018)