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Using POMDPs for Spoken Dialogue Management
| What |
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|---|---|
| When |
Dec 03, 2007 from 01:00 PM to 02:00 PM |
| Where | 54-134 EIV |
| Add event to calendar |
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Steve Young
Cambridge University
Monday, December 3, 2007 at 1:00PM
54-134 Engineering IV Building
Refreshments Served
Abstract:
Modelling dialogue management as a Markov Decision Process offers many
potential advantages including the ability to learn dialog strategies
from data, increased robustness to noise and on-line adaptation.
However, attempts to exploit MDPs in real systems have met with limited
success primarily due to the fact that they cannot model the uncertainty
which is inherent in all spoken dialogue systems.
This talk will explain how partially observable Markov Decision
Processes (POMDPs) can provide a principled mathematical framework for
modelling the inherent uncertainty in spoken dialog systems. It briefly
summarises the basic mathematics and explains why exact optimisation is
intractable. It then describes a form of approximation called the Hidden
Information State model which does scale and which can be used to build
practical systems.
Biography:
Steve Young is Head of Information Engineering at Cambridge University,
UK. He received a BA in Electrical Sciences from Cambridge University in
1973 and a PhD in Speech Processing in 1978. He held lectureships at
both Manchester and Cambridge Universities before being elected to the
Chair of Information Engineering at Cambridge University in 1994. He
was a co-founder and Technical Director of Entropic Ltd from 1995 until
1999 when the company was taken over by Microsoft. After short period
as an Architect at Microsoft, he returned full-time to the University in
January 2001.
Steve Youngs research interests include speech recognition, language
modelling, spoken dialogue and multi-media applications. He is the
inventor and original author of the HTK Toolkit for building hidden
Markov model-based recognition systems (see http://htk.eng.cam.ac.uk).
More recently his prime interest has shifted to statistical dialogue
systems and the use of Partially Observable Markov Decision Processes
for modelling them. He also has active research in voice transformation
and synthesis.
He has written and edited books on software engineering and speech
processing, and he has published as author and co-author, more than 200
papers in these areas. He is a Fellow of the Royal Academy of
Engineering, the Institute of Electrical Engineers and the Royal Society
of Arts. He served as the senior editor of Computer Speech and
Language from 1993 to 2004 and is now a member of the editorial board.
He is a Senior Member of the IEEE and a member of the SPS Awards
Committee. He was a member of the IEEE STC Committee from 1997 to 1999
and he has served on the technical committees of numerous workshops and
conferences. He was the recipient of an IEEE Signal Processing
Society Technical Achievement Award in 2004.
