| Analysis of CNN-based speech recognition system using raw speech as input D Palaz, M Magimai.-Doss, R Collobert Proceedings of Interspeech, 2015 | 283 | 2015 |
| Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks D Palaz, R Collobert, M Magimai.-Doss Proc. of Interspeech, 2013 | 206 | 2013 |
| Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks D Palaz, R Collobert, MM Doss Proceedings of Interspeech, 2013 | 206 | 2013 |
| Convolutional neural networks-based continuous speech recognition using raw speech signal D Palaz, MM Doss, R Collobert 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 176 | 2015 |
| Articulatory feature-based methods for acoustic and audio-visual speech recognition: Summary from the 2006 JHU summer workshop K Livescu, O Cetin, M Hasegawa-Johnson, S King, C Bartels, N Borges, ... 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 156 | 2007 |
| Analysis of MLP-based hierarchical phoneme posterior probability estimator J Pinto, S Garimella, M Magimai-Doss, H Hermansky, H Bourlard IEEE Transactions on Audio, Speech, and Language Processing 19 (2), 225-241, 2010 | 102 | 2010 |
| Towards directly modeling raw speech signal for speaker verification using CNNs H Muckenhirn, MM Doss, S Marcell 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 99 | 2018 |
| Juicer: A Weighted Finite-State Transducer speech decoder D Moore, J Dines, MM Doss, J Vepa, O Cheng, T Hain | 77 | 2006 |
| Using KL-based acoustic models in a large vocabulary recognition task G Aradilla, H Bourlard, M Magimai.-Doss Proceedings of Interspeech, 2008 | 71 | 2008 |
| The SRI-ICSI Spring 2007 meeting and lecture recognition system A Stolcke, X Anguera, K Boakye, Ö Çetin, A Janin, M Magimai-Doss, ... Multimodal Technologies for Perception of Humans, 450-463, 2007 | 69 | 2007 |
| Exploiting contextual information for improved phoneme recognition J Pinto, B Yegnanarayana, H Hermansky, M Magimai-Doss 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 68 | 2008 |
| Speech recognition with auxiliary information TA Stephenson, MM Doss, H Bourlard IEEE transactions on speech and audio processing 12 (3), 189-203, 2004 | 68 | 2004 |
| End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition D Palaz, M Magimai-Doss, R Collobert Speech Communication 108, 15-32, 2019 | 67 | 2019 |
| Articulatory feature classifiers trained on 2000 hours of telephone speech J Frankel, M Magimai-Doss, S King, K Livescu, O Çetin Proceedings of Interspeech, 2007 | 67 | 2007 |
| An articulatory feature-based tandem approach and factored observation modeling O Cetin, A Kantor, S King, C Bartels, M Magimai-Doss, J Frankel, ... 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 60 | 2007 |
| End-to-end convolutional neural network-based voice presentation attack detection H Muckenhirn, M Magimai-Doss, S Marcel 2017 IEEE international joint conference on biometrics (IJCB), 335-341, 2017 | 57 | 2017 |
| Improving speech translation with automatic boundary prediction E Matusov, D Hillard, M Magimai-Doss, D Hakkani-Tür, M Ostendorf, ... Eighth Annual Conference of the International Speech Communication Association, 2007 | 49 | 2007 |
| Unsupervised Spectral Subtraction for Noise-Robust ASR G Lathoud, M Magimai Doss, B Mesot, H Bourlard Proc. of ASRU, 2005 | 45* | 2005 |
| Current trends in multilingual speech processing H Bourlard, J Dines, M Magimai-Doss, PN Garner, D Imseng, P Motlicek, ... Sadhana 36 (5), 885-915, 2011 | 44 | 2011 |
| Monolingual and crosslingual comparison of tandem features derived from articulatory and phone MLPs O Çetin, M Magimai-Doss, K Livescu, A Kantor, S King, C Bartels, ... 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU), 36-41, 2007 | 44 | 2007 |
