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Onderzoeker
Deepak Baby
- Disciplines:Scientific computing, Computertheorie, Computer hardware, Andere computer ingenieurswetenschappen, informatietechnologie en mathematische ingenieurswetenschappen
Affiliaties
- Vakgroep Informatietechnologie (Departement)
Lid
Vanaf13 feb 2017 → 30 apr 2019
Publicaties
1 - 6 van 6
- A convolutional neural-network framework for modelling auditory sensory cells and synapses(2021)
Auteurs: Fotios Drakopoulos, Deepak Baby, Sarah Verhulst
- Biophysically realistic neural-network models of auditory neurons and synapses for neuroscience and machine-hearing applications(2021)Volume: 49
Auteurs: Sarah Verhulst, Fotios Drakopoulos, Arthur Van Den Broucke, Deepak Baby
Pagina's: S30 - S31 - A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications(2021)
Auteurs: Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst
Pagina's: 134 - 143 - SERGAN : speech enhancement using relativistic generative adversarial networks with gradient penalty(2019)
Auteurs: Deepak Baby, Sarah Verhulst
Pagina's: 106 - 110 - Real-time audio processing on a raspberry Pi using deep neural networks(2019)
Auteurs: Fotios Drakopoulos, Deepak Baby, Sarah Verhulst, Martin Ochmann, Michael Vorländer, Janina Fels
Pagina's: 2827 - 2834 - Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems(2018)
Auteurs: Deepak Baby, Sarah Verhulst
Pagina's: 3264 - 3268
Patenten
1 - 1 van 1