Steve Young
Steve Young
Professor of Information Engineering
Verified email at - Homepage
TitleCited byYear
The HTK book
S Young, G Evermann, M Gales, T Hain, D Kershaw, X Liu, G Moore, ...
Cambridge university engineering department 3, 175, 2002
Tree-based state tying for high accuracy acoustic modelling
SJ Young, JJ Odell, PC Woodland
Proceedings of the workshop on Human Language Technology, 307-312, 1994
The estimation of stochastic context-free grammars using the inside-outside algorithm
K Lari, SJ Young
Computer speech & language 4 (1), 35-56, 1990
Partially observable Markov decision processes for spoken dialog systems
JD Williams, S Young
Computer Speech & Language 21 (2), 393-422, 2007
The application of hidden Markov models in speech recognition
M Gales, S Young
Foundations and Trends® in Signal Processing 1 (3), 195-304, 2008
Large vocabulary continuous speech recognition: A review
S Young
IEEE signal processing magazine 13 (5), 45-57, 1996
Robust continuous speech recognition using parallel model combination
MJF Gales, SJ Young
IEEE Transactions on Speech and Audio Processing 4 (5), 352-359, 1996
HMM-based architecture for face identification
F Samaria, S Young
Image and vision computing 12 (8), 537-543, 1994
Token passing: a simple conceptual model for connected speech recognition systems
SJ Young, NH Russell, JHS Thornton
Cambridge University Engineering Department, 1989
The HTK hidden Markov model toolkit: Design and philosophy
SJ Young, S Young
University of Cambridge, Department of Engineering, 1993
Phone-level pronunciation scoring and assessment for interactive language learning
SM Witt, SJ Young
Speech communication 30 (2-3), 95-108, 2000
Pomdp-based statistical spoken dialog systems: A review
S Young, M Gašić, B Thomson, JD Williams
Proceedings of the IEEE 101 (5), 1160-1179, 2013
The hidden information state model: A practical framework for POMDP-based spoken dialogue management
S Young, M Gašić, S Keizer, F Mairesse, J Schatzmann, B Thomson, K Yu
Computer Speech & Language 24 (2), 150-174, 2010
Semantically conditioned lstm-based natural language generation for spoken dialogue systems
TH Wen, M Gasic, N Mrksic, PH Su, D Vandyke, S Young
arXiv preprint arXiv:1508.01745, 2015
Large vocabulary continuous speech recognition using HTK.
PC Woodland, JJ Odell, V Valtchev, SJ Young
ICASSP (2), 125-128, 1994
A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies
J Schatzmann, K Weilhammer, M Stuttle, S Young
The knowledge engineering review 21 (2), 97-126, 2006
A network-based end-to-end trainable task-oriented dialogue system
TH Wen, D Vandyke, N Mrksic, M Gasic, LM Rojas-Barahona, PH Su, ...
arXiv preprint arXiv:1604.04562, 2016
An improved approach to the hidden Markov model decomposition of speech and noise
MJF Gales, S Young
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics …, 1992
Cepstral parameter compensation for HMM recognition in noise
MJF Gales, SJ Young
Speech communication 12 (3), 231-239, 1993
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
B Thomson, S Young
Computer Speech & Language 24 (4), 562-588, 2010
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