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Sarah Verhulst
Associate Professor
Ghent University, Belgium
Latest
A convolutional neural-network framework for modelling auditory sensory cells and synapses
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications
Hearing-Impaired Bio-Inspired Cochlear Models for Real-Time Auditory Applications
Real-Time Audio Processing on a Raspberry Pi using Deep Neural Networks
SERGAN: Speech Enhancement using Relativistic Generative Adversarial Networks with Gradient Penalty
Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems
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