| English Conversational Telephone Speech Recognition by Humans and Machines G Saon, G Kurata, T Sercu, K Audhkhasi, S Thomas, D Dimitriadis, X Cui, ... arXiv preprint arXiv:1703.02136, 2017 | 431 | 2017 |
| The subspace Gaussian mixture model—A structured model for speech recognition D Povey, L Burget, M Agarwal, P Akyazi, F Kai, A Ghoshal, O Glembek, ... Computer Speech & Language 25 (2), 404-439, 2011 | 371 | 2011 |
| Subspace Gaussian mixture models for speech recognition D Povey, L Burget, M Agarwal, P Akyazi, K Feng, A Ghoshal, NK Goel, ... 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 242 | 2010 |
| Multilingual acoustic modeling for speech recognition based on subspace Gaussian mixture models L Burget, P Schwarz, M Agarwal, P Akyazi, K Feng, A Ghoshal, N Goel, ... 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 206 | 2010 |
| Efficient Knowledge Distillation from an Ensemble of Teachers. T Fukuda, M Suzuki, G Kurata, S Thomas, J Cui, B Ramabhadran Interspeech, 3697-3701, 2017 | 176 | 2017 |
| Deep neural network features and semi-supervised training for low resource speech recognition S Thomas, ML Seltzer, K Church, H Hermansky 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 169 | 2013 |
| Multilingual MLP features for low-resource LVCSR systems S Thomas, S Ganapathy, H Hermansky | 129 | 2012 |
| Analyzing convolutional neural networks for speech activity detection in mismatched acoustic conditions S Thomas, S Ganapathy, G Saon, H Soltau ICASSP, 2014 | 125 | 2014 |
| A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition. A Jansen, E Dupoux, S Goldwater, M Johnson, S Khudanpur, K Church, ... ICASSP, 8111-8115, 2013 | 109 | 2013 |
| Recognition of reverberant speech using frequency domain linear prediction S Thomas, S Ganapathy, H Hermansky IEEE Signal Processing Letters 15, 681-684, 2008 | 106 | 2008 |
| Avlnet: Learning audio-visual language representations from instructional videos A Rouditchenko, A Boggust, D Harwath, B Chen, D Joshi, S Thomas, ... arXiv preprint arXiv:2006.09199, 2020 | 104 | 2020 |
| Rapid evaluation of speech representations for spoken term discovery MA Carlin, S Thomas, A Jansen, H Hermansky Twelfth Annual Conference of the International Speech Communication Association, 2011 | 101 | 2011 |
| Cross-lingual and multi-stream posterior features for low resource LVCSR systems S Thomas, S Ganapathy, H Hermansky Eleventh Annual Conference of the International Speech Communication Association, 2010 | 83 | 2010 |
| Invariant Representations for Noisy Speech Recognition D Serdyuk, K Audhkhasi, P Brakel, B Ramabhadran, S Thomas, Y Bengio arXiv preprint arXiv:1612.01928, 2016 | 76 | 2016 |
| Annealed dropout training of deep networks SJ Rennie, V Goel, S Thomas 2014 IEEE Spoken Language Technology Workshop (SLT), 159-164, 2014 | 76 | 2014 |
| Weak top-down constraints for unsupervised acoustic model training A Jansen, S Thomas, H Hermansky 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 66 | 2013 |
| The IBM Speech Activity Detection System for the DARPA RATS Program G Saon, S Thomas, H Soltau, S Ganapathy, B Kingsbury | 66 | 2013 |
| Joint modeling of accents and acoustics for multi-accent speech recognition X Yang, K Audhkhasi, A Rosenberg, S Thomas, B Ramabhadran, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 63 | 2018 |
| Speech recognition with segmental conditional random fields: a summary of the JHU CLSP 2010 summer workshop G Zweig, P Nguyen, D Van Compernolle, K Demuynck, L Atlas, P Clark, ... Proc. ICASSP, 2011 | 62* | 2011 |
| Improvements to the IBM speech activity detection system for the DARPA RATS program S Thomas, G Saon, M Van Segbroeck, SS Narayanan 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 61 | 2015 |
Hynek HermanskyJulian S. Smith Professor in Electrical Engineering, The Johns Hopkins UniversityVerified email at jhu.edu
