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Researcher
Deepak Baby
- Disciplines:Scientific computing, Computer theory, Computer hardware, Other computer engineering, information technology and mathematical engineering
Affiliations
- Department of Information technology (Department)
Member
From13 Feb 2017 → 30 Apr 2019
Publications
1 - 6 of 6
- A convolutional neural-network framework for modelling auditory sensory cells and synapses(2021)
Authors: 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
Authors: Sarah Verhulst, Fotios Drakopoulos, Arthur Van Den Broucke, Deepak Baby
Pages: S30 - S31 - A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications(2021)
Authors: Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst
Pages: 134 - 143 - SERGAN : speech enhancement using relativistic generative adversarial networks with gradient penalty(2019)
Authors: Deepak Baby, Sarah Verhulst
Pages: 106 - 110 - Real-time audio processing on a raspberry Pi using deep neural networks(2019)
Authors: Fotios Drakopoulos, Deepak Baby, Sarah Verhulst, Martin Ochmann, Michael Vorländer, Janina Fels
Pages: 2827 - 2834 - Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems(2018)
Authors: Deepak Baby, Sarah Verhulst
Pages: 3264 - 3268
Patents
1 - 1 of 1