Andreas Stolcke
Andreas Stolcke
Sr. Principal Scientist, Amazon and ICSI
Verified email at - Homepage
Cited by
Cited by
SRILM-an extensible language modeling toolkit
A Stolcke
Seventh international conference on spoken language processing, 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
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
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
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
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
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
Within-class covariance normalization for SVM-based speaker recognition.
AO Hatch, SS Kajarekar, A Stolcke
Interspeech, 1471-1474, 2006
An efficient probabilistic context-free parsing algorithm that computes prefix probabilities
A Stolcke
arXiv preprint cmp-lg/9411029, 1994
Prosody-based automatic detection of annoyance and frustration in human-computer dialog.
J Ang, R Dhillon, A Krupski, E Shriberg, A Stolcke
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
Entropy-based pruning of backoff language models
A Stolcke
arXiv preprint cs/0006025, 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
Hidden Markov model induction by Bayesian model merging
A Stolcke, S Omohundro
Advances in neural information processing systems, 11-11, 1993
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
Inducing probabilistic grammars by Bayesian model merging
A Stolcke, S Omohundro
International Colloquium on Grammatical Inference, 106-118, 1994
Finding consensus among words: Lattice-based word error minimization
L Mangu, E Brill, A Stolcke
Sixth European Conference on Speech Communication and Technology, 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
Bayesian learning of probabilistic language models
A Stolcke
University of California, Berkeley, 1994
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
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