| Sphereface: Deep hypersphere embedding for face recognition W Liu, Y Wen, Z Yu, M Li, B Raj, L Song Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 4014 | 2017 |
| Sphinx-4: A flexible open source framework for speech recognition W Walker, P Lamere, P Kwok, B Raj, R Singh, E Gouvea, P Wolf, ... Sun Microsystems, Inc., 2004 | 686 | 2004 |
| DCASE 2017 challenge setup: Tasks, datasets and baseline system A Mesaros, T Heittola, A Diment, B Elizalde, A Shah, E Vincent, B Raj, ... DCASE 2017-workshop on detection and classification of acoustic scenes and …, 2017 | 638 | 2017 |
| A vector Taylor series approach for environment-independent speech recognition PJ Moreno, B Raj, RM Stern 1996 IEEE international conference on acoustics, speech, and signal …, 1996 | 598 | 1996 |
| Freematch: Self-adaptive thresholding for semi-supervised learning Y Wang, H Chen, Q Heng, W Hou, Y Fan, Z Wu, J Wang, M Savvides, ... arXiv preprint arXiv:2205.07246, 2022 | 596 | 2022 |
| Automatic segmentation, classification and clustering of broadcast news audio MA Siegler, U Jain, B Raj, RM Stern Proc. DARPA speech recognition workshop, 97-99, 1997 | 524 | 1997 |
| The REVERB challenge: A common evaluation framework for dereverberation and recognition of reverberant speech K Kinoshita, M Delcroix, T Yoshioka, T Nakatani, E Habets, ... 2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013 | 504 | 2013 |
| On the origin of deep learning H Wang, B Raj arXiv preprint arXiv:1702.07800, 2017 | 498 | 2017 |
| A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research K Kinoshita, M Delcroix, S Gannot, EA P. Habets, R Haeb-Umbach, ... EURASIP Journal on Advances in Signal Processing 2016 (1), 7, 2016 | 462 | 2016 |
| Speech denoising using nonnegative matrix factorization with priors KW Wilson, B Raj, P Smaragdis, A Divakaran 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 381 | 2008 |
| Beyond gaussian pyramid: Multi-skip feature stacking for action recognition Z Lan, M Lin, X Li, AG Hauptmann, B Raj Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 372 | 2015 |
| Softmatch: Addressing the quantity-quality trade-off in semi-supervised learning H Chen, R Tao, Y Fan, Y Wang, J Wang, B Schiele, X Xie, B Raj, ... arXiv preprint arXiv:2301.10921, 2023 | 348 | 2023 |
| Method and system for retrieving documents with spoken queries PP Wolf, B Ramakrishnan US Patent US6877001 B2, 2005 | 334 | 2005 |
| The CMU SPHINX-4 speech recognition system P Lamere, P Kwok, E Gouvea, B Raj, R Singh, W Walker, M Warmuth, ... Ieee intl. conf. on acoustics, speech and signal processing (icassp 2003 …, 2003 | 332 | 2003 |
| Supervised and semi-supervised separation of sounds from single-channel mixtures P Smaragdis, B Raj, M Shashanka International Conference on Independent Component Analysis and Signal …, 2007 | 328 | 2007 |
| Missing-feature approaches in speech recognition B Raj, RM Stern IEEE Signal Processing Magazine 22 (5), 101-116, 2005 | 294 | 2005 |
| Reconstruction of missing features for robust speech recognition B Raj, ML Seltzer, RM Stern Speech communication 43 (4), 275-296, 2004 | 288 | 2004 |
| Greedy sparsity-constrained optimization S Bahmani, B Raj, PT Boufounos The Journal of Machine Learning Research 14 (1), 807-841, 2013 | 271 | 2013 |
| Multiparty differential privacy via aggregation of locally trained classifiers M Pathak, S Rane, B Raj Advances in neural information processing systems 23, 2010 | 256 | 2010 |
| A Bayesian classifier for spectrographic mask estimation for missing feature speech recognition ML Seltzer, B Raj, RM Stern Speech Communication 43 (4), 379-393, 2004 | 222 | 2004 |
Richard M. SternProfessor of Electrical Engineering and Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
