| Self-critical sequence training for image captioning SJ Rennie, E Marcheret, Y Mroueh, J Ross, V Goel Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2404 | 2017 |
| Data augmentation for deep neural network acoustic modeling X Cui, V Goel, B Kingsbury IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (9), 1469 …, 2015 | 540 | 2015 |
| Deep multimodal learning for audio-visual speech recognition Y Mroueh, E Marcheret, V Goel 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 294 | 2015 |
| Minimum Bayes-risk methods in automatic speech recognition V Goel, W Byrne Pattern Recognition in Speech and Language Processing, 59-87, 2003 | 260 | 2003 |
| Privacy-sensitive speech model creation via aggregation of multiple user models AR Lee, P Novak, PA Olsen, V Goel US Patent 9,424,836, 2016 | 259 | 2016 |
| Mcgan: Mean and covariance feature matching gan Y Mroueh, T Sercu, V Goel International conference on machine learning, 2527-2535, 2017 | 172 | 2017 |
| Sparse maximum a posteriori (map) adaption V Goel, PA Olsen, SJ Rennie, J Huang US Patent 8,972,258, 2015 | 153 | 2015 |
| Dominant frequency analysis of EEG reveals brain's response during injury and recovery V Goel, AM Brambrink, A Baykal, RC Koehler, DF Hanley, NV Thakor IEEE transactions on biomedical engineering 43 (11), 1083-1092, 1996 | 94 | 1996 |
| Annealed dropout training of deep networks SJ Rennie, V Goel, S Thomas 2014 IEEE Spoken Language Technology Workshop (SLT), 159-164, 2014 | 86 | 2014 |
| Segmental minimum Bayes-risk decoding for automatic speech recognition V Goel, S Kumar, W Byrne IEEE transactions on Speech and Audio Processing 12 (3), 234-249, 2004 | 78 | 2004 |
| Natural language system and method based on unisolated performance metric S Deligne, Y Gao, V Goel, HK Kuo, C Wu US Patent 7,574,358, 2009 | 72 | 2009 |
| Dense prediction on sequences with time-dilated convolutions for speech recognition T Sercu, V Goel arXiv preprint arXiv:1611.09288, 2016 | 71 | 2016 |
| Data augmentation for deep convolutional neural network acoustic modeling X Cui, V Goel, B Kingsbury 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 64 | 2015 |
| Method and system for using a statistical language model and an action classifier in parallel with grammar for better handling of out-of-grammar utterances V Goel, R Gopinath, EE Jan, K Visweswariah US Patent 8,396,713, 2013 | 61 | 2013 |
| Advances in very deep convolutional neural networks for LVCSR T Sercu, V Goel arXiv preprint arXiv:1604.01792, 2016 | 58 | 2016 |
| Subspace constrained Gaussian mixture models for speech recognition S Axelrod, V Goel, RA Gopinath, PA Olsen, K Visweswariah IEEE Transactions on speech and audio processing 13 (6), 1144-1160, 2005 | 53 | 2005 |
| Syllable-A promising recognition unit for LVCSR A Ganapathiraju, V Goel, J Picone, A Corrada, G Doddington, K Kirchhoff, ... 1997 IEEE Workshop on Automatic Speech Recognition and Understanding …, 1997 | 48 | 1997 |
| Data augmentation method based on stochastic feature mapping for automatic speech recognition X Cui, V Goel, BED Kingsbury US Patent 9,721,559, 2017 | 45 | 2017 |
| Embedding-based speaker adaptive training of deep neural networks X Cui, V Goel, G Saon arXiv preprint arXiv:1710.06937, 2017 | 44 | 2017 |
| Audio-visual speech recognition with scattering operators E Marcheret, J Vopicka, V Goel US Patent 9,697,833, 2017 | 43 | 2017 |
