| Robust language identification using convolutional neural network features. S Ganapathy, KJ Han, S Thomas, MK Omar, M Van Segbroeck, ... Interspeech, 1846-1850, 2014 | 66 | 2014 |
| Feature normalization for speaker verification in room reverberation S Ganapathy, J Pelecanos, MK Omar 2011 IEEE international conference on acoustics, speech and signal …, 2011 | 61 | 2011 |
| A novel approach to detecting non-native speakers and their native language MK Omar, J Pelecanos 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 37 | 2010 |
| Training Universal Background Models for Speaker Recognition. MK Omar, JW Pelecanos Odyssey 10, 2010 | 32 | 2010 |
| Blind change detection for audio segmentation MK Omar, U Chaudhari, G Ramaswamy Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 32 | 2005 |
| Selective structured state-spaces for long-form video understanding J Wang, W Zhu, P Wang, X Yu, L Liu, M Omar, R Hamid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 30 | 2023 |
| Maximum mutual information based acoustic-features representation of phonological features for speech recognition MK Omar, M Hasegawa-Johnson 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002 | 26 | 2002 |
| Gaussian mixture models of phonetic boundaries for speech recognition MK Omar, M Hasegawa-Johnson, S Levinson IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU …, 2001 | 21 | 2001 |
| TRAP language identification system for RATS phase II evaluation. KJ Han, S Ganapathy, M Li, MK Omar, SS Narayanan INTERSPEECH, 1502-1506, 2013 | 20 | 2013 |
| An evaluation of using mutual information for selection of acoustic-features representation of phonemes for speech recognition. MK Omar, K Chen, M Hasegawa-Johnson, Y Brandman INTERSPEECH, 2129-2132, 2002 | 18 | 2002 |
| Multiscale audio spectrogram transformer for efficient audio classification W Zhu, M Omar ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 16 | 2023 |
| On the use of nonlinear polynomial kernel SVMs in language recognition S Yaman, J Pelecanos, MK Omar Annual Conference of the International Speech Communication Association, 2012 | 13 | 2012 |
| Maximum conditional mutual information projection for speech recognition. MK Omar, M Hasegawa-Johnson INTERSPEECH, 505-508, 2003 | 12 | 2003 |
| Speech Activity Detection for Noisy Data Using Adaptation Techniques. M Omar INTERSPEECH, 1973-1976, 2012 | 9 | 2012 |
| Model enforcement: A unified feature transformation framework for classification and recognition MK Omar, M Hasegawa-Johnson IEEE transactions on signal processing 52 (10), 2701-2710, 2004 | 9 | 2004 |
| Non-linear maximum likelihood feature transformation for speech recognition. MK Omar, M Hasegawa-Johnson INTERSPEECH, 2497-2500, 2003 | 9 | 2003 |
| Approximately independent factors of speech using nonlinear symplectic transformation MK Omar, M Hasegawa-Johnson IEEE transactions on speech and audio processing 11 (6), 660-671, 2003 | 8 | 2003 |
| Non-linear independent component analysis for speech recognition MK Omar, M Hasegawa-Johnson Proc. Internat. Cybernetics, Control, and Communications Technol. Conference …, 2003 | 8 | 2003 |
| Phonetic segmentation of Arabic speech for verification using HMM MK Omar Department of Electronics and Communications. Cairo University, Faculty …, 1999 | 8 | 1999 |
| Method for system combination in an audio analytics application S Ganapathy, MK Omar, R Ward US Patent 10,089,977, 2018 | 7 | 2018 |
Mark Hasegawa-JohnsonProfessor of Electrical and Computer Engineering, University of IllinoisVerified email at illinois.edu
