| SRILM-an extensible language modeling toolkit A Stolcke Seventh international conference on spoken language processing, 2002 | 5623 | 2002 |
| Dialogue act modeling for automatic tagging and recognition of conversational speech A Stolcke, K Ries, N Coccaro, E Shriberg, R Bates, D Jurafsky, P Taylor, ... Computational linguistics 26 (3), 339-373, 2000 | 1354 | 2000 |
| Finding consensus in speech recognition: word error minimization and other applications of confusion networks L Mangu, E Brill, A Stolcke Computer Speech & Language 14 (4), 373-400, 2000 | 907 | 2000 |
| The ICSI meeting corpus A Janin, D Baron, J Edwards, D Ellis, D Gelbart, N Morgan, B Peskin, ... 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 776 | 2003 |
| The Microsoft 2017 conversational speech recognition system W Xiong, L Wu, F Alleva, J Droppo, X Huang, A Stolcke 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 774 | 2018 |
| Prosody-based automatic segmentation of speech into sentences and topics E Shriberg, A Stolcke, D Hakkani-Tür, G Tür Speech communication 32 (1-2), 127-154, 2000 | 598 | 2000 |
| Achieving human parity in conversational speech recognition W Xiong, J Droppo, X Huang, F Seide, M Seltzer, A Stolcke, D Yu, ... arXiv preprint arXiv:1610.05256, 2016 | 576 | 2016 |
| Within-class covariance normalization for SVM-based speaker recognition. AO Hatch, SS Kajarekar, A Stolcke Interspeech, 1471-1474, 2006 | 546 | 2006 |
| An efficient probabilistic context-free parsing algorithm that computes prefix probabilities A Stolcke arXiv preprint cmp-lg/9411029, 1994 | 501 | 1994 |
| Prosody-based automatic detection of annoyance and frustration in human-computer dialog. J Ang, R Dhillon, A Krupski, E Shriberg, A Stolcke INTERSPEECH, 2002 | 495 | 2002 |
| An introduction to computational networks and the computational network toolkit D Yu, A Eversole, M Seltzer, K Yao, Z Huang, B Guenter, O Kuchaiev, ... Microsoft Technical Report MSR-TR-2014–112, 2014 | 457 | 2014 |
| Entropy-based pruning of backoff language models A Stolcke arXiv preprint cs/0006025, 2000 | 403 | 2000 |
| Can prosody aid the automatic classification of dialog acts in conversational speech? E Shriberg, A Stolcke, D Jurafsky, N Coccaro, M Meteer, R Bates, P Taylor, ... Language and speech 41 (3-4), 443-492, 1998 | 394 | 1998 |
| Enriching speech recognition with automatic detection of sentence boundaries and disfluencies Y Liu, E Shriberg, A Stolcke, D Hillard, M Ostendorf, M Harper IEEE Transactions on audio, speech, and language processing 14 (5), 1526-1540, 2006 | 356 | 2006 |
| Hidden Markov model induction by Bayesian model merging A Stolcke, S Omohundro Advances in neural information processing systems 5, 1992 | 348 | 1992 |
| Inducing probabilistic grammars by Bayesian model merging A Stolcke, S Omohundro International Colloquium on Grammatical Inference, 106-118, 1994 | 339 | 1994 |
| Finding consensus among words: lattice-based word error minimization. L Mangu, E Brill, A Stolcke Eurospeech, 1999 | 311 | 1999 |
| SRILM at sixteen: Update and outlook A Stolcke, J Zheng, W Wang, V Abrash Proceedings of IEEE automatic speech recognition and understanding workshop 5, 2011 | 301 | 2011 |
| Modeling prosodic feature sequences for speaker recognition E Shriberg, L Ferrer, S Kajarekar, A Venkataraman, A Stolcke Speech communication 46 (3-4), 455-472, 2005 | 299 | 2005 |
| Bayesian learning of probabilistic language models A Stolcke University of California, Berkeley, 1994 | 293 | 1994 |
Elizabeth ShribergCSO at Ellipsis Health, San FranciscoEmail verificata su ellipsishealth.com
