Publications

Google Scholar

Journal Articles

[1]
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications
D. Baby, A. Van Den Broucke, S. Verhulst
Nature Machine Intelligence, 2021 DOI: 10.1038/s42256-020-00286-8
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[2]
A convolutional neural-network framework for modelling auditory sensory cells and synapses
F. Drakopoulos, D. Baby, S. Verhulst
Nature Communications Biology, 2021 DOI: 10.1038/s42003-021-02341-5
Paper Preprint Code
[3]
Automated speech analysis to improve TMS-based language mapping: Algorithm and proof of concept
L. Seynaeve, D. Baby, H. Van hamme, S. De Vleeschouwer, P. Dupont, W. Van Paesschen
Brain Stimulation, 2019
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[4]
Joint Denoising and Dereverberation Using Exemplar-Based Sparse Representations and Decaying Norm Constraint
D. Baby, H. Van hamme
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2017 DOI: 10.1109/TASLP.2017.2744261
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[5]
Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition
D. Baby, T. Virtanen, J.F. Gemmeke, H. Van hamme
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2015 DOI: 10.1109/TASLP.2015.2450491
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Conference & Workshop Papers

[1]
Speech Dereverberation using Variational Autoencoders
D. Baby, H. Bourlard
IEEE ICASSP, Toronto, Canada, 2021
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[2]
Hearing-Impaired Bio-Inspired Cochlear Models for Real-Time Auditory Applications
A. Van Den Broucke, D. Baby, S. Verhulst
INTERSPEECH, Shanghai, China, 2020 DOI: 10.21437/Interspeech.2020-2818
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[3]
SERGAN: Speech Enhancement using Relativistic Generative Adversarial Networks with Gradient Penalty
D. Baby, S. Verhulst
IEEE ICASSP, Brighton, UK, 2019
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[4]
Real-Time Audio Processing on a Raspberry Pi using Deep Neural Networks
F. Drakopoulos, D. Baby, S. Verhulst
23rd International Congress on Acoustics (ICA), Aachen, Germany, 2019
[5]
Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems
D. Baby, S. Verhulst
INTERSPEECH, Hyderabad, India, 2018 DOI: 10.21437/Interspeech.2018-1237
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[6]
Supervised Speech Dereverberation in Noisy Environments using Exemplar-based Sparse Representations
D. Baby, H. Van hamme
IEEE ICASSP, Shanghai, China, 2016 DOI: 10.1109/ICASSP.2016.7471656
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[7]
Exemplar-based speech enhancement for deep neural network based automatic speech recognition
D. Baby, J.F. Gemmeke, T. Virtanen, H. Van hamme
IEEE ICASSP, Brisbane, Australia, 2015 DOI: 10.1109/ICASSP.2015.7178819
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[8]
Investigating Modulation Spectrogram Features for Deep Neural Network-Based Automatic Speech Recognition
D. Baby, H. Van hamme
INTERSPEECH, Dresden, Germany, 2015
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[9]
Noise Robust Exemplar Matching for Speech Enhancement: Applications to Automatic Speech Recognition
E. Yilmaz, D. Baby, H. Van hamme
INTERSPEECH, Dresden, Germany, 2015
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[10]
Hybrid input spaces for exemplar-based noise robust speech recognition using coupled dictionaries
D. Baby, H. Van hamme
23rd European Signal Processing Conference (EUSIPCO), Nice, France, 2015 DOI: 10.1109/EUSIPCO.2015.7362669
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[11]
Noise robust exemplar matching with coupled dictionaries for single-channel speech enhancement
E. Yilmaz, D. Baby, H. Van hamme
23rd European Signal Processing Conference (EUSIPCO), Nice, France, 2015 DOI: 10.1109/EUSIPCO.2015.7362508
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[12]
Exemplar-based noise robust automatic speech recognition using modulation spectrogram features
D. Baby, T. Virtanen, J.F. Gemmeke, T. Barker, H. Van hamme
IEEE Spoken Language Technology Workshop (SLT), South Lake Tahoe, USA, 2014 DOI: 10.1109/SLT.2014.7078628
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[13]
Coupled dictionary training for exemplar-based speech enhancement
D. Baby, T. Virtanen, T. Barker, H. Van hamme
IEEE ICASSP, Florence, Italy, 2014 DOI: 10.1109/ICASSP.2014.6854127
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[14]
Ordered Orthogonal Matching Pursuit
D. Baby, S.R.B. Pillai
National Conference on Communications (NCC), Kharagpur, India, 2012 DOI: 10.1109/NCC.2012.6176775
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