Fotios Drakopoulos
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Otoacoustic emissions in a deep-neural-network model of cochlear mechanics
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- Conference Paper
- C1
- open access
A DNN-based hearing-aid strategy for real-time processing : one size fits all
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- Conference Paper
- C1
- open access
Machine-learning-based audio algorithms for hearing loss compensation
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- Journal Article
- A1
- open access
A neural-network framework for the design of individualised hearing-loss compensation
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- Conference Paper
- C1
- open access
Machine-learning-based audio algorithms for cochlear synaptopathy compensation : which speech features are enhanced?
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- Journal Article
- A1
- open access
Model-based hearing-enhancement strategies for cochlear synaptopathy pathologies
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Novel compensation strategies for hearing-impaired auditory signal processing
(2022) -
- Conference Paper
- C3
- open access
Learning from model-based approaches for hearing loss compensation : which speech features are enhanced in machine-learning-based audio algorithms for cochlear synaptopathy compensation?
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- Conference Paper
- P1
- open access
A differentiable optimisation framework for the design of individualised DNN-based hearing-aid strategies
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Biophysically realistic neural-network models of auditory neurons and synapses for neuroscience and machine-hearing applications