Research Explorer

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Researcher

Fotios Drakopoulos

9 Results

2022

A differentiable optimisation framework for the design of individualised DNN-based hearing-aid strategies

Fotios DrakopoulosSarah Verhulst

Learning from model-based approaches for hearing loss compensation : which speech features are enhanced in machine-learning-based audio algorithms for cochlear synaptopathy compensation?

Marjoleen WoutersFotios DrakopoulosSarah Verhulst

Machine-learning-based audio algorithms for cochlear synaptopathy compensation : which speech features are enhanced?

Marjoleen WoutersFotios DrakopoulosSarah Verhulst

Model-based hearing-enhancement strategies for cochlear synaptopathy pathologies

Fotios DrakopoulosViacheslav VasilkovAlejandro Osses VecchiTijmen WartenbergSarah Verhulst

A1 Journal Article in HEARING RESEARCH

Novel compensation strategies for hearing-impaired auditory signal processing

Fotios DrakopoulosSarah VerhulstDick Botteldooren

2021

A convolutional neural-network framework for modelling auditory sensory cells and synapses

Fotios DrakopoulosDeepak BabySarah Verhulst

A1 Journal Article in COMMUNICATIONS BIOLOGY

Biophysically realistic neural-network models of auditory neurons and synapses for neuroscience and machine-hearing applications

Sarah VerhulstFotios DrakopoulosArthur Van Den BrouckeDeepak Baby

2020

Applying biophysical auditory periphery models for real-time applications and studies of hearing impairment

Arthur Van Den BrouckeFotios DrakopoulosDeepak BabySarah Verhulst

2019

Real-time audio processing on a raspberry Pi using deep neural networks

Fotios DrakopoulosDeepak BabySarah Verhulst