Automatic speech recognition and speech variability: A review M Benzeghiba, R De Mori, O Deroo, S Dupont, T Erbes, D Jouvet, ...
Speech communication 49 (10-11), 763-786, 2007
756 2007 Signal analysis: wavelets, filter banks, time-frequency transforms and applications A Mertins, DA Mertins
John Wiley & Sons, Inc., 1999
674 1999 Compressed sensing reconstruction for magnetic resonance parameter mapping M Doneva, P Börnert, H Eggers, C Stehning, J Sénégas, A Mertins
Magnetic resonance in medicine 64 (4), 1114-1120, 2010
471 2010 Sketch-based image matching using angular partitioning A Chalechale, G Naghdy, A Mertins
IEEE Transactions on Systems, Man, and Cybernetics-part a: systems and …, 2004
217 2004 XSleepNet: Multi-view sequential model for automatic sleep staging H Phan, OY Chén, MC Tran, P Koch, A Mertins, M De Vos
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5903-5915, 2021
211 2021 Sleeptransformer: Automatic sleep staging with interpretability and uncertainty quantification H Phan, K Mikkelsen, OY Chén, P Koch, A Mertins, M De Vos
IEEE Transactions on Biomedical Engineering 69 (8), 2456-2467, 2022
190 2022 Improving GANs for speech enhancement H Phan, IV McLoughlin, L Pham, OY Chén, P Koch, M De Vos, A Mertins
IEEE Signal Processing Letters 27, 1700-1704, 2020
154 2020 Random regression forests for acoustic event detection and classification H Phan, M Maaß, R Mazur, A Mertins
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (1), 20-31, 2014
154 2014 Robust audio event recognition with 1-max pooling convolutional neural networks H Phan, L Hertel, M Maass, A Mertins
arXiv preprint arXiv:1604.06338, 2016
142 2016 Towards more accurate automatic sleep staging via deep transfer learning H Phan, OY Chén, P Koch, Z Lu, I McLoughlin, A Mertins, M De Vos
IEEE Transactions on Biomedical Engineering 68 (6), 1787-1798, 2020
141 2020 Signaltheorie A Mertins
Teubner, 1996
137 1996 Edge image description using angular radial partitioning A Chalechale, A Mertins, G Naghdy
IEE Proceedings-Vision, Image and Signal Processing 151 (2), 93-101, 2004
119 2004 Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines. T Wesker, BT Meyer, K Wagener, J Anemüller, A Mertins, B Kollmeier
Interspeech, 1273-1276, 2005
112 2005 Compressed sensing for chemical shift‐based water–fat separation M Doneva, P Börnert, H Eggers, A Mertins, J Pauly, M Lustig
Magnetic resonance in medicine 64 (6), 1749-1759, 2010
108 2010 CNN-MoE based framework for classification of respiratory anomalies and lung disease detection L Pham, H Phan, R Palaniappan, A Mertins, I McLoughlin
IEEE journal of biomedical and health informatics 25 (8), 2938-2947, 2021
107 2021 Room Impulse Response Shortening/Reshaping With Infinity- and A Mertins, T Mei, M Kallinger
IEEE Transactions on Audio, Speech, and Language Processing 18 (2), 249-259, 2009
107 2009 Local region descriptors for active contours evolution C Darolti, A Mertins, C Bodensteiner, UG Hofmann
IEEE Transactions on Image Processing 17 (12), 2275-2288, 2008
91 2008 Improved audio scene classification based on label-tree embeddings and convolutional neural networks H Phan, L Hertel, M Maass, P Koch, R Mazur, A Mertins
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1278 …, 2017
85 2017 Comparing time and frequency domain for audio event recognition using deep learning L Hertel, H Phan, A Mertins
2016 international joint conference on neural networks (IJCNN), 3407-3411, 2016
83 2016 Audio scene classification with deep recurrent neural networks H Phan, P Koch, F Katzberg, M Maass, R Mazur, A Mertins
arXiv preprint arXiv:1703.04770, 2017
82 2017 