Sciweavers

ICASSP
2011
IEEE
12 years 9 months ago
Bayesian reinforcement learning for POMDP-based dialogue systems
Spoken dialogue systems are gaining popularity with improvements in speech recognition technologies. Dialogue systems can be modeled effectively using POMDPs, achieving improvemen...
ShaoWei Png, Joelle Pineau
INTERSPEECH
2010
13 years 9 days ago
Analyzing user utterances in barge-in-able spoken dialogue system for improving identification accuracy
In our barge-in-able spoken dialogue system, the user's behaviors such as barge-in timing and utterance expressions vary according to his/her characteristics and situations. ...
Kyoko Matsuyama, Kazunori Komatani, Ryu Takeda, To...
CORR
1999
Springer
93views Education» more  CORR 1999»
13 years 5 months ago
Empirically Evaluating an Adaptable Spoken Dialogue System
Abstract. Recent technological advances have made it possible to build real-time, interactive spoken dialogue systems for a wide variety of applications. However, when users do not...
Diane J. Litman, Shimei Pan
JAIR
2002
99views more  JAIR 2002»
13 years 5 months ago
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System
Designing the dialogue policy of a spoken dialogue system involves many nontrivial choices. This paper presents a reinforcement learning approach for automatically optimizing a di...
Satinder P. Singh, Diane J. Litman, Michael J. Kea...
JAIR
2000
131views more  JAIR 2000»
13 years 5 months ago
An Application of Reinforcement Learning to Dialogue Strategy Selection in a Spoken Dialogue System for Email
This paper describes a novel method by which a spoken dialogue system can learn to choose an optimal dialogue strategy from its experience interacting with human users. The method...
Marilyn A. Walker
SPEECH
2008
75views more  SPEECH 2008»
13 years 5 months ago
Relations between de-facto criteria in the evaluation of a spoken dialogue system
Evaluation of spoken dialogue systems has been traditionally carried out in terms of instrumentally or expert-derived measures (usually called ``objective" evaluation) and qu...
Zoraida Callejas, Ramón López-C&oacu...
COLING
2000
13 years 6 months ago
Automatic Optimization of Dialogue Management
Designing the dialogue strategy of a spoken dialogue system involves many nontrivial choices. This paper presents a reinforcement learning approach for automatically optimizing di...
Diane J. Litman, Michael S. Kearns, Satinder P. Si...
AAAI
2000
13 years 6 months ago
Predicting and Adapting to Poor Speech Recognition in a Spoken Dialogue System
Spoken dialogue system performance can vary widely for different users, as well for the same user during different dialogues. This paper presents the design and evaluation of an a...
Diane J. Litman, Shimei Pan
ACL
2004
13 years 6 months ago
Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems
We use machine learners trained on a combination of acoustic confidence and pragmatic plausibility features computed from dialogue context to predict the accuracy of incoming n-be...
Malte Gabsdil, Oliver Lemon
LREC
2010
175views Education» more  LREC 2010»
13 years 7 months ago
Ad-hoc Evaluations Along the Lifecycle of Industrial Spoken Dialogue Systems: Heading to Harmonisation?
With a view to rationalise the evaluation process within the Orange Labs spoken dialogue system projects, a field audit has been realised among the various related professionals. ...
Marianne Laurent, Philippe Bretier, Carole Manquil...