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ORCIDSarah Verhulst
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2020 – today
- 2025
[j3]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:
Age dependent deficits in speech recognition in quiet and noise are reflected in MGB activity and cochlear onset coding. NeuroImage 305: 120958 (2025)- 2023
- [j2]Fotios Drakopoulos, Sarah Verhulst:
A Neural-Network Framework for the Design of Individualised Hearing-Loss Compensation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2395-2409 (2023) - [c8]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: 1-4 - [c7]Fotios Drakopoulos, Arthur Van Den Broucke, Sarah Verhulst:
A DNN-Based Hearing-Aid Strategy For Real-Time Processing: One Size Fits All. ICASSP 2023: 1-5 - [c6]Chuan Wen, Sarah Verhulst:
Biophysically-inspired single-channel speech enhancement in the time domain. INTERSPEECH 2023: 775-779 - 2022
- [c5]Fotios Drakopoulos, Sarah Verhulst:
A Differentiable Optimisation Framework for The Design of Individualised DNN-based Hearing-Aid Strategies. ICASSP 2022: 351-355 - 2021
- [j1]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): 134-143 (2021) - [c4]Sarineh Keshishzadeh, Sarah Verhulst:
Individualized Cochlear Models Based on Distortion Product Otoacoustic Emissions. EMBC 2021: 403-407 - [i4]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 abs/2107.01753 (2021) - 2020
- [c3]Arthur Van Den Broucke, Deepak Baby, Sarah Verhulst:
Hearing-Impaired Bio-Inspired Cochlear Models for Real-Time Auditory Applications. INTERSPEECH 2020: 2842-2846 - [i3]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 abs/2004.14832 (2020)
2010 – 2019
- 2019
- [c2]Deepak Baby, Sarah Verhulst:
Sergan: Speech Enhancement Using Relativistic Generative Adversarial Networks with Gradient Penalty. ICASSP 2019: 106-110 - [i2]Alejandro Osses Vecchi, Sarah Verhulst:
Calibration and reference simulations for the auditory periphery model of Verhulst et al 2018 version 1.2. CoRR abs/1912.10026 (2019) - 2018
- [c1]Deepak Baby, Sarah Verhulst:
Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems. INTERSPEECH 2018: 3264-3268 - [i1]Deepak Baby, Sarah Verhulst:
Machines hear better when they have ears. CoRR abs/1806.01145 (2018)
Coauthor Index
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