Deepak Baby
TitleCited byYear
Coupled dictionaries for exemplar-based speech enhancement and automatic speech recognition
D Baby, T Virtanen, JF Gemmeke
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 23 …, 2015
222015
Coupled dictionary training for exemplar-based speech enhancement
D Baby, T Virtanen, T Barker, H Van hamme
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014
182014
Exemplar-based speech enhancement for deep neural network based automatic speech recognition
D Baby, J Gemmeke, T Virtanen, H Van hamme
IEEE ICASSP 2015, 2015
162015
Ordered Orthogonal Matching Pursuit
D Baby, SRB Pillai
Communications (NCC), 2012 National Conference on, 2012
10*2012
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 25 (10 …, 2017
92017
Supervised speech dereverberation in noisy environments using exemplar-based sparse representations
D Baby, H Van hamme
Accoustics, Speech and Signal Processing, 2016 IEEE International Conference on, 2016
72016
Investigating modulation spectrogram features for deep neural network-based automatic speech recognition
D Baby, H Van hamme
Proceedings Interspeech 2015, 2479-2483, 2015
42015
Exemplar-based noise robust automatic speech recognition using modulation spectrogram features
D Baby, T Virtanen, J Gemmeke, T Barker, H Van hamme
Proceedings SLT 2014, 1-6, 2014
42014
Sergan: Speech enhancement using relativistic generative adversarial networks with gradient penalty
D Baby, S Verhulst
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
32019
Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems
D Baby, S Verhulst
INTERSPEECH, 2018
32018
Coupled dictionary-based speech enhancement for CHiME-3 challenge
D Baby, T Virtanen, H Van hamme
32015
Non-negative sparse representations for speech enhancement and recognition
D Baby
Ph. D. dissertation, University of Leuven, 2016
22016
Noise robust exemplar matching for speech enhancement: Applications to automatic speech recognition
E Yilmaz, D Baby, H Van hamme
Proceedings Interspeech 2015, 688-692, 2015
22015
Machines hear better when they have ears
D Baby, S Verhulst
arXiv preprint arXiv:1806.01145, 2018
12018
Noise robust exemplar matching with coupled dictionaries for single-channel speech enhancement
E Yilmaz, D Baby, H Van hamme
Signal Processing Conference (EUSIPCO), 2015 23rd European, 874-878, 2015
12015
Automated speech analysis to improve TMS-based language mapping: Algorithm and proof of concept
L Seynaeve, D Baby, S De Vleeschouwer, P Dupont, W Van Paesschen
Brain Stimulation: Basic, Translational, and Clinical Research in …, 2019
2019
Real-time audio processing on a Raspberry Pi using deep neural networks
F Drakopoulos, D Baby, S Verhulst
23rd International Congress on Acoustics (ICA 2019), 2827-2834, 2019
2019
2017 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 25
J Abeber, J Abel, J Abeser, TD Abhayapala, V Abrol, MO Ahmad, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (12), 2463, 2017
2017
Coupled dictionary-based speech enhancement with adaptively learned atoms for the CHiME-3 challenge
D Baby, T Virtanen, H Van hamme
SPIRE Workshop, 2016., 2016
2016
Hybrid input spaces for exemplar-based noise robust speech recognition using coupled dictionaries
D Baby, H Van hamme
Signal Processing Conference (EUSIPCO), 2015 23rd European, 1676-1680, 2015
2015
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Articles 1–20